@article{10.1371/journal.pone.0081638, abstract = {

The development of ICT infrastructures has facilitated the emergence of new paradigms for looking at society and the environment over the last few years. Participatory environmental sensing, i.e. directly involving citizens in environmental monitoring, is one example, which is hoped to encourage learning and enhance awareness of environmental issues. In this paper, an analysis of the behaviour of individuals involved in noise sensing is presented. Citizens have been involved in noise measuring activities through the WideNoise smartphone application. This application has been designed to record both objective (noise samples) and subjective (opinions, feelings) data. The application has been open to be used freely by anyone and has been widely employed worldwide. In addition, several test cases have been organised in European countries. Based on the information submitted by users, an analysis of emerging awareness and learning is performed. The data show that changes in the way the environment is perceived after repeated usage of the application do appear. Specifically, users learn how to recognise different noise levels they are exposed to. Additionally, the subjective data collected indicate an increased user involvement in time and a categorisation effect between pleasant and less pleasant environments.

}, author = {Becker, Martin and Caminiti, Saverio and Fiorella, Donato and Francis, Louise and Gravino, Pietro and Haklay, Mordechai (Muki) and Hotho, Andreas and Loreto, Vittorio and Mueller, Juergen and Ricchiuti, Ferdinando and Servedio, Vito D. P. and Sîrbu, Alina and Tria, Francesca}, doi = {10.1371/journal.pone.0081638}, interhash = {52652b4fe271d8be4b96b2f692fe9519}, intrahash = {423a8aaa4eb317ee507143293205c76f}, journal = {PLoS ONE}, month = {12}, number = 12, pages = {e81638}, publisher = {Public Library of Science}, title = {Awareness and Learning in Participatory Noise Sensing}, url = {http://dx.doi.org/10.1371%2Fjournal.pone.0081638}, volume = 8, year = 2013 } @article{becker2013awareness, abstract = {The development of ICT infrastructures has facilitated the emergence of new paradigms for looking at society and the environment over the last few years. Participatory environmental sensing, i.e. directly involving citizens in environmental monitoring, is one example, which is hoped to encourage learning and enhance awareness of environmental issues. In this paper, an analysis of the behaviour of individuals involved in noise sensing is presented. Citizens have been involved in noise measuring activities through the WideNoise smartphone application. This application has been designed to record both objective (noise samples) and subjective (opinions, feelings) data. The application has been open to be used freely by anyone and has been widely employed worldwide. In addition, several test cases have been organised in European countries. Based on the information submitted by users, an analysis of emerging awareness and learning is performed. The data show that changes in the way the environment is perceived after repeated usage of the application do appear. Specifically, users learn how to recognise different noise levels they are exposed to. Additionally, the subjective data collected indicate an increased user involvement in time and a categorisation effect between pleasant and less pleasant environments.}, author = {Becker, Martin and Caminiti, Saverio and Fiorella, Donato and Francis, Louise and Gravino, Pietro and Haklay, Mordechai (Muki) and Hotho, Andreas and Loreto, Vittorio and Mueller, Juergen and Ricchiuti, Ferdinando and Servedio, Vito D. P. and Sîrbu, Alina and Tria, Francesca}, doi = {10.1371/journal.pone.0081638}, interhash = {52652b4fe271d8be4b96b2f692fe9519}, intrahash = {4b843a252dfa2c2616c18aea426f9861}, issn = {1932-6203}, journal = {PLOS ONE}, month = dec, number = 12, pages = {e81638}, title = {Awareness and Learning in Participatory Noise Sensing}, volume = 8, year = 2013 } @inproceedings{becker2013generic, abstract = {An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.}, address = {New York, NY, USA}, author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd}, booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings}, doi = {10.1145/2494091.2499776}, interhash = {5302866e7849d40a44deab166b6c4d36}, intrahash = {35eef1ecdac9d83d3bfbcac22c31984a}, pages = {1175--1182}, publisher = {ACM}, title = {A Generic Platform for Ubiquitous and Subjective Data}, year = 2013 } @inproceedings{mueller2013recommendations, abstract = {With the rising popularity of smart mobile devices, sensor data-based applications have become more and more popular. Their users record data during their daily routine or specifically for certain events. The application WideNoise Plus allows users to record sound samples and to annotate them with perceptions and tags. The app is being used to document and map the soundscape all over the world. The procedure of recording, including the assignment of tags, has to be as easy-to-use as possible. We therefore discuss the application of tag recommender algorithms in this particular scenario. We show, that this task is fundamentally different from the well-known tag recommendation problem in folksonomies as users do no longer tag fix resources but rather sensory data and impressions. The scenario requires efficient recommender algorithms that are able to run on the mobile device, since Internet connectivity cannot be assumed to be available. Therefore, we evaluate the performance of several tag recommendation algorithms and discuss their applicability in the mobile sensing use-case.}, author = {Mueller, Juergen and Doerfel, Stephan and Becker, Martin and Hotho, Andreas and Stumme, Gerd}, booktitle = {Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings}, interhash = {23d1cf49208d9a0c8b883dc69d4e444d}, intrahash = {6190d6064dfdb3b8d71f2898539e993e}, note = {accepted for publication}, pages = {New York, NY, USA}, publisher = {ACM}, title = {Tag Recommendations for SensorFolkSonomies}, year = 2013 } @inproceedings{kibanov2013select, abstract = {This paper describes a framework for evaluating and selecting suitable soft- ware tools for a software project, which is easily extendable depending on needs of the project. For an evaluation, we applied the presented framework in three different projects. These projects use different software development methods (from classical models to Scrum) in different environments (industry and academia). We discuss our experiences and the lessons learned.}, author = {Kibanov, Mark and Erdmann, Dominik J. and Atzmueller, Martin}, booktitle = {Software Engineering 2013 - Workshopband}, editor = {Wagner, Stefan and Lichter, Horst}, interhash = {5ca8db994c0eac678d74c889dc02eaee}, intrahash = {a3fe7cf44007d0f52a16ae05da66c610}, publisher = {Gesellschaft für Informatik}, title = {How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned}, url = {http://www4.in.tum.de/~kuhrmann/se2013/kibanov.pdf}, year = 2013 } @incollection{mitzlaff2013semantics, address = {Heidelberg, Germany}, author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas}, booktitle = {Complex Networks IV}, doi = {10.1007/978-3-642-36844-8_2}, editor = {Ghoshal, Gourab and Poncela-Casasnovas, Julia and Tolksdorf, Robert}, interhash = {bf333426bb7af5f01bf0c465c1bfe1fc}, intrahash = {0a35f1ed66fcd342a6a44d70c63fb735}, optisbn = {978-3-642-36843-1}, opturl = {http://dx.doi.org/10.1007/978-3-642-36844-8_2}, publisher = {Springer Verlag}, series = {Studies in Computational Intelligence}, title = {{Semantics of User Interaction in Social Media}}, volume = 476, year = 2013 } @inproceedings{kibanov2013evolution, abstract = {Communities are a central aspect in the formation of social interaction networks. In this paper, we analyze the evolution of communities in networks of face-to-face proximity. As our application context, we consider four scientific conferences. We compare the basic properties of the contact graphs to describe the properties of the contact networks and analyze the resulting community structure using state-of-the-art automic community detection algorithms. Specifically, we analyze the evolution of contacts and communities over time to consider the stability of the respective communities. In addition, we assess different factors which have an influence on the quality of community prediction. Overall, we provide first important insights into the evolution of contacts and communities in face-to-face contact networks.}, address = {Los Alamitos, CA, USA}, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, booktitle = {Cyber, Physical and Social Computing (CPSCom), 2013 IEEE International Conference on}, interhash = {14e73d96c8554e73214c36b49add934c}, intrahash = {601dbb4ce847cd8baaec1c751f8373a5}, publisher = {IEEE Computer Society}, title = {On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity}, year = 2013 } @inproceedings{atzmueller2013towards, address = {New York, NY, USA}, author = {Atzmueller, Martin and Hilgenberg, Katy}, booktitle = {Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013}, interhash = {b0d93d41ff9e84514d614cd2b3507a1d}, intrahash = {4ebea4979524a9c1c0d41845e41e33a9}, publisher = {ACM Press}, title = {{Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection}}, year = 2013 } @inproceedings{scholz2013people, author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd}, booktitle = {ASONAM}, interhash = {8b6051b794789000c4baa5ab059fab18}, intrahash = {bf958ff2b11df1d9d15d9287ea07a5c9}, title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}, year = 2013 } @book{doerfel2013informationelle, author = {Doerfel, Stephan and Hotho, Andreas and Kartal-Aydemir, Aliye and Roßnagel, Alexander and Stumme, Gerd}, interhash = {f72d297ba42797ca66baba052c846b7a}, intrahash = {2bb934c0ff3652843fd0aff97d8d7324}, isbn = {9783642380556 3642380557}, publisher = {Vieweg + Teubner Verlag}, refid = {857973438}, title = {Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme}, url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9783642380556}, year = 2013 } @article{atzmueller2013exploratory, author = {Atzmueller, Martin and Lemmerich, Florian}, interhash = {6e83bf4017fffe31a5632289d91c1b6d}, intrahash = {9f176520035c05191d77ebd53803b817}, journal = {International Journal of Web Science (Special Issue on Social Web Search and Mining)}, number = {1/2}, title = {{Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information}}, volume = 2, year = 2013 } @article{schulz2013rechtliche, author = {Schulz, Thomas and Skistims, Hendrik and Zirfas, Julia and Atzmueller, Martin and Scholz, Christoph}, interhash = {224ac0c2ca760bea1ccdb5ee66959a8b}, intrahash = {2ec777edc0adc9f74292caf4ae9ad4f0}, journal = {ZD}, pages = {60--65}, title = {{Rechtliche Ausgestaltung sozialer Konferenzplattformen}}, volume = 2, year = 2013 } @inproceedings{mitzlaff2011semantics, address = {Bamberg, Germany}, author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas}, booktitle = {Proc. LWA 2013 (KDML Special Track)}, interhash = {73088600a500f7d06768615d6e1c2b3d}, intrahash = {820ffb2166b330bf60bb30b16e426553}, publisher = {University of Bamberg}, title = {{On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)}}, year = 2011 } @inproceedings{kibanov2013select, author = {Kibanov, Mark and Erdmann, Dominik J. and Atzmueller, Martin}, booktitle = {Software Engineering 2013 - Workshopband}, editors = {Stefan Wagner and Horst Lichter}, interhash = {5ca8db994c0eac678d74c889dc02eaee}, intrahash = {f94a42249c770cdf5d62e4ec3db073e9}, publisher = {Gesellschaft für Informatik}, title = {{How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned}}, year = 2013 } @misc{mitzlaff2013userrelatedness, abstract = {With social media and the according social and ubiquitous applications finding their way into everyday life, there is a rapidly growing amount of user generated content yielding explicit and implicit network structures. We consider social activities and phenomena as proxies for user relatedness. Such activities are represented in so-called social interaction networks or evidence networks, with different degrees of explicitness. We focus on evidence networks containing relations on users, which are represented by connections between individual nodes. Explicit interaction networks are then created by specific user actions, for example, when building a friend network. On the other hand, more implicit networks capture user traces or evidences of user actions as observed in Web portals, blogs, resource sharing systems, and many other social services. These implicit networks can be applied for a broad range of analysis methods instead of using expensive gold-standard information. In this paper, we analyze different properties of a set of networks in social media. We show that there are dependencies and correlations between the networks. These allow for drawing reciprocal conclusions concerning pairs of networks, based on the assessment of structural correlations and ranking interchangeability. Additionally, we show how these inter-network correlations can be used for assessing the results of structural analysis techniques, e.g., community mining methods.}, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, interhash = {40aa075d925f2e6e009986fd9e60b11b}, intrahash = {cbed5fadde51ddb20c6a470ced93556a}, note = {cite arxiv:1309.3888}, title = {User-Relatedness and Community Structure in Social Interaction Networks}, url = {http://arxiv.org/abs/1309.3888}, year = 2013 } @inproceedings{kibanov2013evolution, address = {Boston, MA, USA}, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, booktitle = {Proc. IEEE CPSCom 2013}, interhash = {14e73d96c8554e73214c36b49add934c}, intrahash = {5824b6151b2046d6295e4300311b7e8e}, publisher = {IEEE Computer Society}, title = {{On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity}}, year = 2013 } @inproceedings{scholz2013people, abstract = {Understanding the process of link creation is rather important for link prediction in social networks. Therefore, this paper analyzes contact structures in networks of face-to-face spatial proximity, and presents new insights on the dynamic and static contact behavior in such real world networks. We focus on face-to-face contact networks collected at different conferences using the social conference guidance system Conferator. Specifically, we investigate the strength of ties and its connection to triadic closures in face-to-face proximity networks. Furthermore, we analyze the predictability of all, new and recurring links at different points of time during the conference. In addition, we consider network dynamics for the prediction of new links.}, address = {Los Alamitos, CA, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd}, booktitle = {Advances in Social Networks Analysis and Mining (ASONAM), 2013 International Conference on}, interhash = {8b6051b794789000c4baa5ab059fab18}, intrahash = {15cbb7f4dbbb8bc6ee9b7a2bf666f032}, title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}, year = 2013 } @inproceedings{atzmueller2013sensor, address = {Hamburg, Germany}, author = {Atzmueller, Martin and Hilgenberg, Katy}, booktitle = {Proc. Sunbelt XXXIII: Annual Meeting of the International Network for Social Network Analysis}, interhash = {b71797fb6ff8776761d5227a61875470}, intrahash = {5f8a4602c1087ea93f1f7440050d1982}, publisher = {INSNA}, title = {{SDCF - A Sensor Data Collection Framework for Social and Ubiquitous Environments: Challenges and First Experiences in Sensor-based Social Networks (Abstract)}}, year = 2013 } @book{atzmueller2013proceedings, address = {Prague, Czech Republic}, editor = {Atzmueller, Martin and Scholz, Christoph}, interhash = {86b1cf400a692ad208a65d64798b360d}, intrahash = {df284a5c0da26066183bb7f528ded439}, publisher = {ECML/PKDD 2013}, title = {{Proceedings of the 2013 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2013)}}, year = 2013 } @misc{atzmueller2013conferator, author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd}, howpublished = {INFORMATIK 2013, Poster}, interhash = {caba49a0a623346dad82849aba632778}, intrahash = {08072aad22200d852e826ef2cde3e487}, title = {Conferator - a Social System for Conference and Contact Management }, year = 2013 } @inproceedings{mitzlaff2013leveraging, author = {Mitzlaff, Folke}, booktitle = {Proceedings from Sunbelt XXXIII}, interhash = {c8e7748fd7777e15c66f8dce8189a7a5}, intrahash = {aedf89a1eb405370be2a6d8e0c3be382}, title = {Name Me If You Can(!) - Leveraging Networks of Given Names}, year = 2013 } @inproceedings{jaschke2013attribute, abstract = {We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.}, author = {Jäschke, Robert and Rudolph, Sebastian}, booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis}, editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard}, interhash = {000ab7b0ae3ecd1d7d6ceb39de5c11d4}, intrahash = {45e900e280661d775d8da949baee3747}, month = may, organization = {Technische Universität Dresden}, pages = {19--34}, title = {Attribute Exploration on the Web}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133}, urn = {urn:nbn:de:bsz:14-qucosa-113133}, year = 2013 } @inproceedings{doerfel2013analysis, abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.}, acmid = {2507222}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert}, booktitle = {Proceedings of the 7th ACM conference on Recommender systems}, doi = {10.1145/2507157.2507222}, interhash = {3eaf2beb1cdad39b7c5735a82c3338dd}, intrahash = {a73213a865503252caa4b28e88a77108}, isbn = {978-1-4503-2409-0}, location = {Hong Kong, China}, numpages = {4}, pages = {343--346}, publisher = {ACM}, series = {RecSys '13}, title = {An Analysis of Tag-Recommender Evaluation Procedures}, url = {http://doi.acm.org/10.1145/2507157.2507222}, year = 2013 } @inproceedings{scholz2013people, address = {New York, NY, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd}, booktitle = {Proc. ASONAM 2013}, interhash = {8b6051b794789000c4baa5ab059fab18}, intrahash = {0fee74fd5b3f4c2af09e3af256086c63}, publisher = {ACM Press}, title = {{How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}}, year = 2013 } @incollection{niebler2013tagging, abstract = {The presence of emergent semantics in social annotation systems has been reported in numerous studies. Two important problems in this context are the induction of semantic relations among tags and the discovery of different senses of a given tag. While a number of approaches for discovering tag senses exist, little is known about which }, author = {Niebler, Thomas and Singer, Philipp and Benz, Dominik and Körner, Christian and Strohmaier, Markus and Hotho, Andreas}, booktitle = {Advances in Information Retrieval}, doi = {10.1007/978-3-642-36973-5_8}, editor = {Serdyukov, Pavel and Braslavski, Pavel and Kuznetsov, SergeiO. and Kamps, Jaap and Rüger, Stefan and Agichtein, Eugene and Segalovich, Ilya and Yilmaz, Emine}, interhash = {8f11f2140d9eb369a7ca42cd527f76c1}, intrahash = {8583743a7598e78cc7b4e8af71a43902}, isbn = {978-3-642-36972-8}, pages = {86-97}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, title = {How Tagging Pragmatics Influence Tag Sense Discovery in Social Annotation Systems}, url = {http://dx.doi.org/10.1007/978-3-642-36973-5_8}, volume = 7814, year = 2013 } @incollection{seipel2013mining, address = {Heidelberg, Germany}, author = {Seipel, Dietmar and Köhler, Stefan and Neubeck, Philipp and Atzmueller, Martin}, booktitle = {{Postproceedings of the 1st Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012}}, interhash = {5c349ddd3d5627b0ccb31ee1de55faa2}, intrahash = {0c1b2ffe552535d3f34521a74f4c4253}, publisher = {Springer Verlag}, series = {LNAI}, title = {{Mining Complex Event Patterns in Computer Networks}}, year = 2013 } @article{mitzlaff2013userrelatedness, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, interhash = {40aa075d925f2e6e009986fd9e60b11b}, intrahash = {424d0f2d4a5c9a0eb68cbf2fc5b0010a}, journal = {CoRR/abs}, title = {{User-Relatedness and Community Structure in Social Interaction Networks}}, volume = {1309.3888}, year = 2013 } @article{landia2013deeper, abstract = {The information contained in social tagging systems is often modelled as a graph of connections between users, items and tags. Recommendation algorithms such as FolkRank, have the potential to leverage complex relationships in the data, corresponding to multiple hops in the graph. We present an in-depth analysis and evaluation of graph models for social tagging data and propose novel adaptations and extensions of FolkRank to improve tag recommendations. We highlight implicit assumptions made by the widely used folksonomy model, and propose an alternative and more accurate graph-representation of the data. Our extensions of FolkRank address the new item problem by incorporating content data into the algorithm, and significantly improve prediction results on unpruned datasets. Our adaptations address issues in the iterative weight spreading calculation that potentially hinder FolkRank's ability to leverage the deep graph as an information source. Moreover, we evaluate the benefit of considering each deeper level of the graph, and present important insights regarding the characteristics of social tagging data in general. Our results suggest that the base assumption made by conventional weight propagation methods, that closeness in the graph always implies a positive relationship, does not hold for the social tagging domain.}, author = {Landia, Nikolas and Doerfel, Stephan and Jäschke, Robert and Anand, Sarabjot Singh and Hotho, Andreas and Griffiths, Nathan}, interhash = {e8095b13630452ce3ecbae582f32f4bc}, intrahash = {e585a92994be476480545eb62d741642}, journal = {cs.IR}, title = {Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations}, url = {http://arxiv.org/abs/1310.1498}, volume = {1310.1498}, year = 2013 } @misc{mitzlaff2013recommending, abstract = {All over the world, future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and especially personal taste. Although this task is omnipresent, little research has been conducted on the analysis and application of interrelations among given names from a data mining perspective. The present work tackles the problem of recommending given names, by firstly mining for inter-name relatedness in data from the Social Web. Based on these results, the name search engine "Nameling" was built, which attracted more than 35,000 users within less than six months, underpinning the relevance of the underlying recommendation task. The accruing usage data is then used for evaluating different state-of-the-art recommendation systems, as well our new \NR algorithm which we adopted from our previous work on folksonomies and which yields the best results, considering the trade-off between prediction accuracy and runtime performance as well as its ability to generate personalized recommendations. We also show, how the gathered inter-name relationships can be used for meaningful result diversification of PageRank-based recommendation systems. As all of the considered usage data is made publicly available, the present work establishes baseline results, encouraging other researchers to implement advanced recommendation systems for given names.}, author = {Mitzlaff, Folke and Stumme, Gerd}, interhash = {545658b6e337858f7865b51e46d1c7a6}, intrahash = {41f92650f0f7d78366febc1832cedba9}, note = {cite arxiv:1302.4412Comment: Baseline results for the ECML PKDD Discovery Challenge 2013}, title = {Recommending Given Names}, url = {http://arxiv.org/abs/1302.4412}, year = 2013 } @inproceedings{christophscholzandmartinatzmuellerandalainbarratandcirocattutoandgerdstumme2013insights, address = {Palo Alto, CA, USA}, author = {{Christoph Scholz and Martin Atzmueller and Alain Barrat and Ciro Cattuto and Gerd Stumme}}, booktitle = {Proc. 7th Intl. AAAI Conference on Weblogs and Social Media}, interhash = {18e166abcc948c86d6d4e9de9b204760}, intrahash = {3dce3522e260238f2a8e802b52096cb7}, optpages = {To appear}, publisher = {AAAI Press}, title = {{New Insights and Methods For Predicting Face-To-Face Contacts}}, year = 2013 } @inproceedings{doerfel2013analysis, abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.}, acmid = {2507222}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert}, booktitle = {Proceedings of the 7th ACM conference on Recommender systems}, doi = {10.1145/2507157.2507222}, interhash = {3eaf2beb1cdad39b7c5735a82c3338dd}, intrahash = {aa4b3d79a362d7415aaa77625b590dfa}, isbn = {978-1-4503-2409-0}, location = {Hong Kong, China}, numpages = {4}, pages = {343--346}, publisher = {ACM}, series = {RecSys '13}, title = {An analysis of tag-recommender evaluation procedures}, url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2013analysis.pdf}, year = 2013 } @inproceedings{kibanov2013evolution, address = {Bamberg, Germany}, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, booktitle = {Proc. LWA 2013 (KDML Special Track)}, interhash = {84a970ee998f7e8d24b597c285e1887c}, intrahash = {a5d94c9930fd413a404efe6d9420a752}, publisher = {University of Bamberg}, title = {{Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)}}, year = 2013 } @inproceedings{atzmueller2013subgroup, address = {Prague, Czech Republic}, author = {Atzmueller, Martin and Mueller, Juergen}, booktitle = {{Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2013)}}, interhash = {339aa18b5a6047ea4005f6c6a48b9bb6}, intrahash = {56661bf6212e1e5ab839640fdfba09b6}, title = {{Subgroup Analytics and Interactive Assessment on Ubiquitous Data}}, year = 2013 } @conference{macek2013visualizing, address = {New York, NY, USA}, author = {Macek, Björn-Elmar and Atzmueller, Martin}, booktitle = {Proc. ASONAM 2013}, interhash = {d8cd9de635a391360c1663c0ec1ba35d}, intrahash = {04a24a6fa8abc228ea70b7d1c2ca7455}, publisher = {ACM Press}, title = {Visualizing The Impact of Time Series Data for Predicting User Interactions}, year = 2013 } @misc{mitzlaff2013onomastics, abstract = {Onomastics is "the science or study of the origin and forms of proper names of persons or places." ["Onomastics". Merriam-Webster.com, 2013. http://www.merriam-webster.com (11 February 2013)]. Especially personal names play an important role in daily life, as all over the world future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and, in particular, personal taste. With the rise of the Social Web and its applications, users more and more interact digitally and participate in the creation of heterogeneous, distributed, collaborative data collections. These sources of data also reflect current and new naming trends as well as new emerging interrelations among names. The present work shows, how basic approaches from the field of social network analysis and information retrieval can be applied for discovering relations among names, thus extending Onomastics by data mining techniques. The considered approach starts with building co-occurrence graphs relative to data from the Social Web, respectively for given names and city names. As a main result, correlations between semantically grounded similarities among names (e.g., geographical distance for city names) and structural graph based similarities are observed. The discovered relations among given names are the foundation of "nameling" [http://nameling.net], a search engine and academic research platform for given names which attracted more than 30,000 users within four months, underpinningthe relevance of the proposed methodology.}, author = {Mitzlaff, Folke and Stumme, Gerd}, interhash = {816104835d685de72d69faa174fd5e77}, intrahash = {0e7c394199e6b0587a880184b206af57}, note = {cite arxiv:1303.0484Comment: Historically, this is the first paper on the analysis of names in the context of the name search engine 'nameling'. arXiv admin note: text overlap with arXiv:1302.4412}, title = {Onomastics 2.0 - The Power of Social Co-Occurrences}, url = {http://arxiv.org/abs/1303.0484}, year = 2013 } @misc{atzmueller2013conferator, author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd}, howpublished = {Poster at INFORMATIK 2013}, institution = {University of Koblenz-Landau}, interhash = {caba49a0a623346dad82849aba632778}, intrahash = {2668432d7c035c34c4af4f6f96e22397}, publisher = {INFORMATIK 2013}, title = {{Conferator - a Social System for Conference and Contact Management}}, year = 2013 } @inproceedings{atzmueller2013subgroup, abstract = {This paper applies subgroup discovery for obtaining interesting descriptive patterns in ubiquitous data. Furthermore, we provide a novel graph-based analysis approach for assessing the relations between the obtained subgroup set, and for ranking subgroups according to their relationships to other subgroups. We present and discuss first results utilizing real-world data, given by noise measurements with associated subjective perceptions and a set of tags describing the semantic context.}, address = {Kassel, Germany}, author = {Atzmueller, Martin and Mueller, Juergen}, booktitle = {Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic -- September 23-27, 2013. Proceedings}, interhash = {339aa18b5a6047ea4005f6c6a48b9bb6}, intrahash = {72d80f820d7cd8bc00469bc5ea3ed534}, pages = {19--27}, title = {Subgroup Analytics and Interactive Assessment on Ubiquitous Data}, url = {http://www.kde.cs.uni-kassel.de/ws/muse2013/#proceedings}, year = 2013 } @inproceedings{mueller2013recommendations, abstract = {With the rising popularity of smart mobile devices, sensor data-based applications have become more and more popular. Their users record data during their daily routine or specifically for certain events. The application WideNoise Plus allows users to record sound samples and to annotate them with perceptions and tags. The app is being used to document and map the soundscape all over the world. The procedure of recording, including the assignment of tags, has to be as easy-to-use as possible. We therefore discuss the application of tag recommender algorithms in this particular scenario. We show, that this task is fundamentally different from the well-known tag recommendation problem in folksonomies as users do no longer tag fix resources but rather sensory data and impressions. The scenario requires efficient recommender algorithms that are able to run on the mobile device, since Internet connectivity cannot be assumed to be available. Therefore, we evaluate the performance of several tag recommendation algorithms and discuss their applicability in the mobile sensing use-case.}, address = {Aachen, Germany}, author = {Mueller, Juergen and Doerfel, Stephan and Becker, Martin and Hotho, Andreas and Stumme, Gerd}, booktitle = {Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings}, interhash = {23d1cf49208d9a0c8b883dc69d4e444d}, intrahash = {2bab3f013052bc741e795c5c61aea5c9}, issn = {1613-0073}, publisher = {CEUR-WS}, title = {Tag Recommendations for SensorFolkSonomies}, url = {http://ceur-ws.org/Vol-1066/}, volume = 1066, year = 2013 } @incollection{atzmueller2013social, address = {Heidelberg, Germany}, author = {Atzmueller, Martin}, booktitle = {Mobile Social Networking: An Innovative Approach}, editor = {Chin, Alvin and Zhang, Daqing}, interhash = {1be75b604acbaf39653eeca9833782df}, intrahash = {cd910f3a16c9368e7b73407708452653}, publisher = {Springer Verlag}, title = {{Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities}}, year = 2013 } @book{rothberghofer2013proceedings, address = {Annecy, France}, editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin}, interhash = {f1f8980780e57fc36c9c44ce7d3673b4}, intrahash = {2b36fe460601217691180f0affbbe286}, publisher = {CONTEXT 2013}, title = {{Proceedings of the 2013 International Smart University Workshop (SmartU 2013)}}, year = 2013 } @inproceedings{atzmueller2013towards, abstract = {With the rapid development of mobile technologies like, e.g., RFID tags, smartphones, and tablets, ambient intelligence applications have gained a huge popularity in recent years. However, most of the existing approaches aim at developing ambient environments that are rather static, and do not take the aspect of social interaction between the inhabitants into account. We argue that this is essential for smart classrooms, meeting rooms and other environments that are strictly based on mechanisms of human face-to-face interactions. In the context of the smart university, we propose the ambient classroom system for enhancing collaborative educational processes using sensor fusion, data mining, semantic technologies, and inference methods.}, author = {Atzmueller, Martin and Bobek, Szymon and Kibanov, Mark and Nalepa, Grzegorz J.}, booktitle = {Context'13 - Smart University Workshop (SmartUni) 2013}, editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin}, interhash = {69cbd239a85b5995c8d8fee31090dd59}, intrahash = {accf589237bba2f2503fe5292565f6a8}, title = {Towards the Ambient Classroom: An Environment for Enhancing Collaborative Educational Processes}, year = 2013 } @inproceedings{Scholz:2012:PHC:2411131.2411662, abstract = {While the analysis of online social networks is a prominent research topic, offline real-world networks are still not covered extensively. However, their analysis can provide important insights into human behavior. In this paper, we analyze influence factors for link prediction in human contact networks. Specifically, we consider the prediction of new links, and extend it to the analysis of recurring links. Furthermore, we consider the impact of stronger ties for the prediction. The results and insights of the analysis are a first step onto predictability applications for human contact networks.}, acmid = {2411662}, address = {Washington, DC, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust}, doi = {10.1109/SocialCom-PASSAT.2012.49}, interhash = {9bc5d42018dbe8b926be214190258b3c}, intrahash = {b8771cc1fc02b5bb679c4a293eae517d}, isbn = {978-0-7695-4848-7}, numpages = {10}, pages = {312--321}, publisher = {IEEE Computer Society}, series = {SOCIALCOM-PASSAT '12}, title = {On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties}, url = {http://dx.doi.org/10.1109/SocialCom-PASSAT.2012.49}, year = 2012 } @inproceedings{mueller-2012, abstract = {The connection of ubiquitous and social computing is an emerging research area which is combining two prominent areas of computer science. In this paper, we tackle this topic from different angles: We describe data mining methods for ubiquitous and social data, specifically focusing on physical and social activities, and provide exemplary analysis results. Furthermore, we give an overview on the Ubicon platform which provides a framework for the creation and hosting of ubiquitous and social applications for diverse tasks and projects. Ubicon features the collection and analysis of both physical and social activities of users for enabling inter-connected applications in ubiquitous and social contexts. We summarize three real-world systems built on top of Ubicon, and exemplarily discuss the according mining and analysis aspects.}, address = {Washington, DC, USA}, author = {Atzmueller, Martin and Becker, Martin and Doerfel, Stephan and Kibanov, Mark and Hotho, Andreas and Macek, Björn-Elmar and Mitzlaff, Folke and Mueller, Juergen and Scholz, Christoph and Stumme, Gerd}, booktitle = {IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besançon, France, 20-23 November, 2012}, interhash = {a2695fd9fe6e76b252edbd42d72b34ad}, intrahash = {90847b1d969ac1ed1f4c8d7146416619}, publisher = {IEEE}, title = {Ubicon: Observing Social and Physical Activities}, year = 2012 } @book{balbymarinho2012recommender, abstract = {Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models.}, author = {Balby Marinho, L. and Hotho, A. and Jäschke, R. and Nanopoulos, A. and Rendle, S. and Schmidt-Thieme, L. and Stumme, G. and Symeonidis, P.}, doi = {10.1007/978-1-4614-1894-8}, interhash = {0bb7f0588cd690d67cc73e219a3a24fa}, intrahash = {87d6883ebd98e8810be45d7e7e4ade96}, isbn = {978-1-4614-1893-1}, month = feb, publisher = {Springer}, series = {SpringerBriefs in Electrical and Computer Engineering}, title = {Recommender Systems for Social Tagging Systems}, url = {http://link.springer.com/book/10.1007/978-1-4614-1894-8}, year = 2012 } @article{journals/insk/KrauseLHRS12, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, ee = {http://dx.doi.org/10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {df97de393d3421ef2e20384ddde16ab1}, journal = {Informatik Spektrum}, number = 1, pages = {12-23}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy.}, url = {http://dblp.uni-trier.de/db/journals/insk/insk35.html#KrauseLHRS12}, volume = 35, year = 2012 } @incollection{BAESSG:12, abstract = {To facilitate user-centered software engineering, developers need an easy to grasp understanding of the user. The use of personas helps to keep specific user needs in mind during the design process. Technology acceptance is of particular interest for the design of innovative applications previously unknown to potential users. Therefore, our research focuses on defining a typology of relevant user characteristics with respect to technology acceptance and transferring those findings to the description of personas. The presented work focuses on the statistical relationship between technology acceptance and personality. We apply sub-group discovery as a statistical tool. Based on the statistically derived subgroups and patterns we define the mentioned personas to help developers to understand different forms of technology acceptance. By integrating the specifically defined personas into existing methods in the field of software engineering the feasibility of the presented approach is demonstrated.}, address = {Heidelberg, Germany}, author = {Behrenbruch, Kay and Atzmueller, Martin and Evers, Christoph and Schmidt, Ludger and Stumme, Gerd and Geihs, Kurt}, booktitle = {Human-Centred Software Engineering}, interhash = {1e609af1021c5acbb5db78444c52a9e9}, intrahash = {847830846b80d4507aa4b93d1c8deb83}, pages = {259--266 }, publisher = {Springer}, series = {LNCS}, title = {{A Personality Based Design Approach Using Subgroup Discovery}}, volume = 7623, year = 2012 } @inproceedings{krause2008antisocial, abstract = {The annotation of web sites in social bookmarking systemshas become a popular way to manage and find informationon the web. The community structure of such systems attractsspammers: recent post pages, popular pages or specifictag pages can be manipulated easily. As a result, searchingor tracking recent posts does not deliver quality resultsannotated in the community, but rather unsolicited, oftencommercial, web sites. To retain the benefits of sharingone’s web content, spam-fighting mechanisms that can facethe flexible strategies of spammers need to be developed.}, address = {New York, NY, USA}, author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd}, booktitle = {AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web}, doi = {10.1145/1451983.1451998}, file = {krause2008antisocial.pdf:krause2008antisocial.pdf:PDF}, groups = {public}, interhash = {a45d40ac7776551301ad9dde5b25357f}, intrahash = {5b6b648fd25c15d594404ae26fcda6b4}, isbn = {978-1-60558-159-0}, location = {Beijing, China}, month = apr, pages = {61--68}, publisher = {ACM}, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, username = {dbenz}, year = 2008 } @inproceedings{doerfel2012publication, abstract = {We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history. }, address = {Berlin/Heidelberg}, author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd}, booktitle = {ICFCA 2012}, editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.}, interhash = {f34f31e8dd1e07b1b0a5ab688f10084a}, intrahash = {0ac1296af204a499490bf61a48d03e48}, pages = {77--95}, publisher = {Springer}, series = {Lecture Notes in Artificial Intelligence}, title = {Publication Analysis of the Formal Concept Analysis Community}, url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf}, volume = 7278, year = 2012 } @inproceedings{SAS:12, address = {Boston, MA, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom)}, interhash = {9bc5d42018dbe8b926be214190258b3c}, intrahash = {be5ae4b92170e7c595f5fdcac15b4786}, publisher = {IEEE Computer Society}, title = {{On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties}}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/scholz-on-f2f-predictability-socialcom-2012.pdf}, year = 2012 } @inproceedings{doerfel2012leveraging, abstract = {The ever-growing flood of new scientific articles requires novel retrieval mechanisms. One means for mitigating this instance of the information overload phenomenon are collaborative tagging systems, that allow users to select, share and annotate references to publications. These systems employ recommendation algorithms to present to their users personalized lists of interesting and relevant publications. In this paper we analyze different ways to incorporate social data and metadata from collaborative tagging systems into the graph-based ranking algorithm FolkRank to utilize it for recommending scientific articles to users of the social bookmarking system BibSonomy. We compare the results to those of Collaborative Filtering, which has previously been applied for resource recommendation.}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web}, doi = {10.1145/2365934.2365937}, interhash = {beb2c81daf975eeed6e01e1b412196b1}, intrahash = {64bf590675a833770b7d284871435a8d}, isbn = {978-1-4503-1638-5}, location = {Dublin, Ireland}, month = sep, pages = {9--16}, publisher = {ACM}, title = {Leveraging Publication Metadata and Social Data into FolkRank for Scientific Publication Recommendation }, url = {http://doi.acm.org/10.1145/2365934.2365937}, year = 2012 } @incollection{cimiano2004conceptual, address = {Berlin/Heidelberg}, author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien}, booktitle = {Concept Lattices}, editor = {Eklund, Peter}, interhash = {e42d9895b0d816f231227f1be15b03dc}, intrahash = {9676ee1ded2b73fa90253a2a5dccdbf8}, isbn = {978-3-540-21043-6}, pages = {189--207}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies}, url = {http://dx.doi.org/10.1007/978-3-540-24651-0_18}, volume = 2961, year = 2004 } @article{stumme2002computing, abstract = {We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suited for analyzing very large databases. They also serve as a condensed representation of frequent itemsets, as starting point for computing bases of association rules, and as a visualization method for association rules. Iceberg concept lattices are based on the theory of Formal Concept Analysis, a mathematical theory with applications in data analysis, information retrieval, and knowledge discovery. We present a new algorithm called TITANIC for computing (iceberg) concept lattices. It is based on data mining techniques with a level-wise approach. In fact, TITANIC can be used for a more general problem: Computing arbitrary closure systems when the closure operator comes along with a so-called weight function. The use of weight functions for computing closure systems has not been discussed in the literature up to now. Applications providing such a weight function include association rule mining, functional dependencies in databases, conceptual clustering, and ontology engineering. The algorithm is experimentally evaluated and compared with Ganter's Next-Closure algorithm. The evaluation shows an important gain in efficiency, especially for weakly correlated data.}, address = {Amsterdam, The Netherlands, The Netherlands}, author = {Stumme, Gerd and Taouil, Rafik and Bastide, Yves and Pasquier, Nicolas and Lakhal, Lotfi}, doi = {10.1016/S0169-023X(02)00057-5}, interhash = {d500ac8a249ca8bf0fb05f382799d48f}, intrahash = {fc31933f0eec502e305b6aecb9ef6e8a}, issn = {0169-023X}, journal = {Data \& Knowledge Engineering}, number = 2, pages = {189--222}, publisher = {Elsevier Science Publishers B. V.}, title = {Computing iceberg concept lattices with TITANIC}, url = {http://portal.acm.org/citation.cfm?id=606457}, volume = 42, year = 2002 } @inproceedings{benz2011measuring, abstract = {Recent research has demonstrated how the widespread adoption of collaborative tagging systems yields emergent semantics. In recent years, much has been learned about how to harvest the data produced by taggers for engineering light-weight ontologies. For example, existing measures of tag similarity and tag relatedness have proven crucial step stones for making latent semantic relations in tagging systems explicit. However, little progress has been made on other issues, such as understanding the different levels of tag generality (or tag abstractness), which is essential for, among others, identifying hierarchical relationships between concepts. In this paper we aim to address this gap. Starting from a review of linguistic definitions of word abstractness, we first use several large-scale ontologies and taxonomies as grounded measures of word generality, including Yago, Wordnet, DMOZ and Wikitaxonomy. Then, we introduce and apply several folksonomy-based methods to measure the level of generality of given tags. We evaluate these methods by comparing them with the grounded measures. Our results suggest that the generality of tags in social tagging systems can be approximated with simple measures. Our work has implications for a number of problems related to social tagging systems, including search, tag recommendation, and the acquisition of light-weight ontologies from tagging data.}, address = {Heraklion, Crete}, author = {Benz, Dominik and Körner, Christian and Hotho, Andreas and Stumme, Gerd and Strohmaier, Markus}, booktitle = {Proceedings of the 8th Extended Semantic Web Conference (ESWC 2011)}, editor = {Antoniou, Grigoris and Grobelnik, Marko and Simperl, Elena and Parsia, Bijan and Plexousakis, Dimitris and Pan, Jeff and Leenheer, Pieter De}, interhash = {33a2078f3836293d71c449d5376fc440}, intrahash = {67b4cd173ae1f6d98d80561b5f0289a4}, month = may, title = {One Tag to Bind Them All : Measuring Term Abstractness in Social Metadata}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2011measuring.pdf}, year = 2011 } @incollection{tagging-cattuto, abstract = {{Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Even though most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptions on the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity in terms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of the investigated similarity measures and indicates which ones are better suited in the context of a given semantic application.}}, author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {The Semantic Web - ISWC 2008}, citeulike-article-id = {4718854}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-88564-1\_39}, citeulike-linkout-1 = {http://www.springerlink.com/content/9044260283881v78}, doi = {10.1007/978-3-540-88564-1\_39}, editor = {Sheth, Amit and Staab, Steffen and Dean, Mike and Paolucci, Massimo and Maynard, Diana and Finin, Timothy and Thirunarayan, Krishnaprasad}, interhash = {b44538648cfd476d6c94e30bc6626c86}, intrahash = {022ccb7184fcd0e43092fca13fd56a00}, journal = {The Semantic Web - ISWC 2008}, pages = {615--631}, posted-at = {2011-09-09 20:06:23}, priority = {2}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, title = {{Semantic Grounding of Tag Relatedness in Social Bookmarking Systems}}, url = {http://tagora-project.eu/wp-content/2009/09/cattuto_iswc2008.pdf}, volume = 5318, year = 2008 } @inproceedings{mitzlaff2012namelings, author = {Mitzlaff, Folke and Stumme, Gerd}, booktitle = {SocInfo}, editor = {Aberer, Karl and Flache, Andreas and Jager, Wander and Liu, Ling and Tang, Jie and Guéret, Christophe}, ee = {http://dx.doi.org/10.1007/978-3-642-35386-4_39}, interhash = {2f803cd9938df1f11229f9180577a341}, intrahash = {e2770a8535fca7cce582148703d8980a}, isbn = {978-3-642-35385-7}, pages = {531-534}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Namelings - Discover Given Name Relatedness Based on Data from the Social Web.}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2012namelings.pdf}, volume = 7710, year = 2012 } @inproceedings{mitzlaff2012ranking, author = {Mitzlaff, Folke and Stumme, Gerd}, booktitle = {Proceedings of the 1st ASE International Conference on Social Informatics}, editor = {Marathe, Madhav and Contractor, Noshir}, interhash = {339a7285bfb35e6f3eb1f22f98e818a3}, intrahash = {c2f599000eaa568ed4d1b0b9d3f6fadd}, pages = {185-191}, publisher = {IEEE computer society}, title = {Ranking Given Names}, year = 2012 } @inproceedings{MacekASS11, address = {Milwaukee, WI, USA, June 25-28, 2012}, author = {Macek, Bjoern Elmar and Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {23rd ACM Conference on Hypertext and Social Media, HT '12}, interhash = {5ccd00a47cae3a59c804ee294e127ee7}, intrahash = {0295e33864389c0233f9dd0c8c16dafe}, note = {Best Paper}, pages = {245-254}, publisher = {ACM}, title = {Anatomy of a Conference}, url = {http://dl.acm.org/citation.cfm?id=2309996}, year = 2012 } @incollection{ADHMS:12, address = {Heidelberg, Germany}, alteditor = {Editor}, author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd}, booktitle = {{Modeling and Mining Ubiquitous Social Media}}, interhash = {4f1f4b515b01cc448a91b3e368deabad}, intrahash = {d81d6f6ccdf3ff6572898d39c90e6354}, publisher = {Springer Verlag}, series = {LNAI}, title = {Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-face-to-face-contacts-dynamics-lnai-2012.pdf}, volume = 7472, year = 2012 } @article{mitzlaff2012relatedness, abstract = {As a result of the author's need for help in finding a given namefor the unborn baby, nameling, a search engine for given names, based on data from the ``Social Web'' was born. Within less than six months, more than 35,000 users accessed nameling with more than 300,000 search requests, underpinning the relevance of the underlying research questions. The present work proposes a new approach for discovering relations among given names, based on co-occurrences within Wikipedia. In particular, the task of finding relevant names for a given search query is considered as a ranking task and the performance of different measures of relatedness among given names are evaluated with respect to nameling's actual usage data. We will show that a modification for the PageRank algorithm overcomes limitations imposed by global network characteristics to preferential PageRank computations. By publishing the considered usage data, the research community is stipulated for developing advanced recommendation systems and analyzing influencing factors for the choice of a given name. }, author = {Mitzlaff, Folke and Stumme, Gerd}, interhash = {31f7605431c35592afa50e7a377ce999}, intrahash = {63b13ff16093202c535e5aaac107e567}, journal = {Human Journal}, number = 4, pages = {205-217}, publisher = {Academy of Science and Engineering}, title = {Relatedness of Given Names}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2012relatedness.pdf}, volume = 1, year = 2012 } @incollection{jaeschke2012challenges, abstract = {Originally introduced by social bookmarking systems, collaborative tagging, or social tagging, has been widely adopted by many web-based systems like wikis, e-commerce platforms, or social networks. Collaborative tagging systems allow users to annotate resources using freely chosen keywords, so called tags . Those tags help users in finding/retrieving resources, discovering new resources, and navigating through the system. The process of tagging resources is laborious. Therefore, most systems support their users by tag recommender components that recommend tags in a personalized way. The Discovery Challenges 2008 and 2009 of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) tackled the problem of tag recommendations in collaborative tagging systems. Researchers were invited to test their methods in a competition on datasets from the social bookmark and publication sharing system BibSonomy. Moreover, the 2009 challenge included an online task where the recommender systems were integrated into BibSonomy and provided recommendations in real time. In this chapter we review, evaluate and summarize the submissions to the two Discovery Challenges and thus lay the groundwork for continuing research in this area.}, address = {Berlin/Heidelberg}, affiliation = {Knowledge & Data Engineering Group, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany}, author = {Jäschke, Robert and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd}, booktitle = {Recommender Systems for the Social Web}, doi = {10.1007/978-3-642-25694-3_3}, editor = {Pazos Arias, José J. and Fernández Vilas, Ana and Díaz Redondo, Rebeca P.}, interhash = {75b1a6f54ef54d0126d0616b5bf77563}, intrahash = {7d41d332cccc3e7ba8e7dadfb7996337}, isbn = {978-3-642-25694-3}, pages = {65--87}, publisher = {Springer}, series = {Intelligent Systems Reference Library}, title = {Challenges in Tag Recommendations for Collaborative Tagging Systems}, url = {http://dx.doi.org/10.1007/978-3-642-25694-3_3}, volume = 32, year = 2012 } @inproceedings{illig2009comparison, abstract = {Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. }, address = {Berlin/Heidelberg}, author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {Knowledge Processing and Data Analysis}, doi = {10.1007/978-3-642-22140-8_9}, editor = {Wolff, Karl Erich and Palchunov, Dmitry E. and Zagoruiko, Nikolay G. and Andelfinger, Urs}, interhash = {cd3420c0f73761453320dc528b3d1e14}, intrahash = {f9d6e06ab0f2fdcebb77afa97d72e40a}, isbn = {978-3-642-22139-2}, pages = {136--149}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {A Comparison of Content-Based Tag Recommendations in Folksonomy Systems}, url = {http://dx.doi.org/10.1007/978-3-642-22140-8_9}, volume = 6581, year = 2011 } @inproceedings{bozsak2002towards, author = {Bozsak, E. and Ehrig, Marc and Handschuh, Siegfried and Hotho, Andreas and Maedche, Alexander and Motik, Boris and Oberle, Daniel and Schmitz, Christoph and Staab, Steffen and Stojanovic, Ljiljana and Stojanovic, Nenad and Studer, Rudi and Stumme, Gerd and Sure, York and Tane, Julien and Volz, Raphael and Zacharias, Valentin}, booktitle = {Proceedings of the Third International Conference on E-Commerce and Web Technologies (EC-Web 2002), Aix-en-Provence, France}, editor = {Bauknecht, Kurt and Tjoa, A. Min and Quirchmayr, Gerald}, interhash = {940750309ac472ea48a712e16b5d902a}, intrahash = {d0aa1d2d01e378046e1693babc026836}, pages = {304-313}, publisher = {Springer}, series = {LNCS}, title = {KAON - Towards a large scale Semantic Web}, url = {http://www.aifb.uni-karlsruhe.de/WBS/ysu/publications/2002_ecweb_kaon.pdf}, volume = 2455, year = 2002 } @article{benz2010social, abstract = {Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.}, address = {Berlin / Heidelberg}, affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd}, doi = {10.1007/s00778-010-0208-4}, interhash = {57fe43734b18909a24bf5bf6608d2a09}, intrahash = {c72ed831e0d752eb3613f90e45c71c44}, issn = {1066-8888}, journal = {The VLDB Journal}, keyword = {Computer Science}, number = 6, pages = {849-875}, publisher = {Springer}, title = {The social bookmark and publication management system bibsonomy}, url = {http://dx.doi.org/10.1007/s00778-010-0208-4}, volume = 19, year = 2010 } @inproceedings{koerner2010thinking, abstract = {Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the factors that influence the evolution of semantic structures in these systems. A natural hypothesis is that the quality of the emergent semantics depends on the pragmatics of tagging: Users with certain usage patterns might contribute more to the resulting semantics than others. In this work, we propose several measures which enable a pragmatic differentiation of taggers by their degree of contribution to emerging semantic structures. We distinguish between categorizers, who typically use a small set of tags as a replacement for hierarchical classification schemes, and describers, who are annotating resources with a wealth of freely associated, descriptive keywords. To study our hypothesis, we apply semantic similarity measures to 64 different partitions of a real-world and large-scale folksonomy containing different ratios of categorizers and describers. Our results not only show that ‘verbose’ taggers are most useful for the emergence of tag semantics, but also that a subset containing only 40% of the most ‘verbose’ taggers can produce results that match and even outperform the semantic precision obtained from the whole dataset. Moreover, the results suggest that there exists a causal link between the pragmatics of tagging and resulting emergent semantics. This work is relevant for designers and analysts of tagging systems interested (i) in fostering the semantic development of their platforms, (ii) in identifying users introducing “semantic noise”, and (iii) in learning ontologies.}, address = {Raleigh, NC, USA}, author = {Körner, Christian and Benz, Dominik and Strohmaier, Markus and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 19th International World Wide Web Conference (WWW 2010)}, interhash = {5afe6e4ce8357d8ac9698060fb438468}, intrahash = {45f8d8f2a8251a5e988c596a5ebb3f2d}, month = apr, publisher = {ACM}, title = {Stop Thinking, start Tagging - Tag Semantics emerge from Collaborative Verbosity}, url = {http://www.kde.cs.uni-kassel.de/benz/papers/2010/koerner2010thinking.pdf}, year = 2010 } @article{benz2010query, abstract = {Query logs provide a valuable resource for preference information in search. A user clicking on a specific resource after submitting a query indicates that the resource has some relevance with respect to the query. To leverage the information ofquery logs, one can relate submitted queries from specific users to their clicked resources and build a tripartite graph ofusers, resources and queries. This graph resembles the folksonomy structure of social bookmarking systems, where users addtags to resources. In this article, we summarize our work on building folksonomies from query log files. The focus is on threecomparative studies of the system’s content, structure and semantics. Our results show that query logs incorporate typicalfolksonomy properties and that approaches to leverage the inherent semantics of folksonomies can be applied to query logsas well. }, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd}, interhash = {dae3931a5f445dc67bf111b26f753c36}, intrahash = {bf96c01262d15fb6eaaf558ecb9a9e69}, journal = {Datenbank-Spektrum}, month = jun, number = 1, pages = {15--24}, title = {Query Logs as Folksonomies}, url = {http://dx.doi.org/10.1007/s13222-010-0004-8}, volume = 10, year = 2010 } @inproceedings{eisterlehner2010visit, address = {Toronto, Canada}, author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas}, booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia}, interhash = {5584c4c57fcd8eb4663df8b114bcf09c}, intrahash = {a97c4f7e80dcb666450acf697002155e}, title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy}, year = 2010 } @article{berendt2010bridging, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, doi = {DOI: 10.1016/j.websem.2010.04.008}, interhash = {4969eb2b7bf1fabe60c5f23ab6383d77}, intrahash = {f8d7bc2af5753906dc3897196daac18c}, issn = {1570-8268}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, note = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences}, number = {2-3}, pages = {95 - 96}, title = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0}, url = {http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7}, volume = 8, year = 2010 } @inproceedings{benz2010academic, abstract = {The PUMA project fosters the Open Access movement und aims at a better support of the researcher’s publication work. PUMA stands for an integrated solution, where the upload of a publication results automatically in an update of both the personal and institutional homepage, the creation of an entry in a social bookmarking systems like BibSonomy, an entry in the academic reporting system of the university, and its publication in the institutional repository. In this poster, we present the main features of our solution. }, address = {Berlin/Heidelberg}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd and Halle, Axel and Lima, Angela Gerlach Sanches and Steenweg, Helge and Stefani, Sven}, booktitle = {Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries (ECDL) 2010}, editor = {Lalmas, M. and Jose, J. and Rauber, A. and Sebastiani, F. and Frommholz, I.}, interhash = {db94bafecb815048ede11f6d28e5a9f1}, intrahash = {11bdf4636bc92aed96461eace25484f7}, pages = {417--420}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Academic Publication Management with PUMA - collect, organize and share publications}, volume = 6273, year = 2010 } @inproceedings{mitzlaff2010community, abstract = {Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups. This paper proposes evidence networks using implicit information for the evaluation of communities. The presented evaluation approach is based on the idea of reconstructing existing social structures for the assessment and evaluation of a given clustering. We analyze and compare the presented evidence networks using user data from the real-world social bookmarking application BibSonomy. The results indicate that the evidence networks reflect the relative rating of the explicit ones very well.}, address = {Barcelona, Spain}, author = {Mitzlaff, Folke and Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)}, interhash = {75fbc00000a1bd7ca5f93ca1d24d62c5}, intrahash = {34d79867b23f41ca2e9f481ee894630f}, title = {Community Assessment using Evidence Networks}, url = {http://www.kde.cs.uni-kassel.de/ws/muse2010}, year = 2010 } @article{hotho2010publikationsmanagement, abstract = {Kooperative Verschlagwortungs- bzw. Social-Bookmarking-Systeme wie Delicious, Mister Wong oder auch unser eigenes System BibSonomy erfreuen sich immer gr{\"o}{\ss}erer Beliebtheit und bilden einen zentralen Bestandteil des heutigen Web 2.0. In solchen Systemen erstellen Nutzer leichtgewichtige Begriffssysteme, sogenannte Folksonomies, die die Nutzerdaten strukturieren. Die einfache Bedienbarkeit, die Allgegenw{\"a}rtigkeit, die st{\"a}ndige Verf{\"u}gbarkeit, aber auch die M{\"o}glichkeit, Gleichgesinnte spontan in solchen Systemen zu entdecken oder sie schlicht als Informationsquelle zu nutzen, sind Gr{\"u}nde f{\"u}r ihren gegenw{\"a}rtigen Erfolg. Der Artikel f{\"u}hrt den Begriff Social Bookmarking ein und diskutiert zentrale Elemente (wie Browsing und Suche) am Beispiel von BibSonomy anhand typischer Arbeitsabl{\"a}ufe eines Wissenschaftlers. Wir beschreiben die Architektur von BibSonomy sowie Wege der Integration und Vernetzung von BibSonomy mit Content-Management-Systemen und Webauftritten. Der Artikel schlie{\ss}t mit Querbez{\"u}gen zu aktuellen Forschungsfragen im Bereich Social Bookmarking.}, author = {Hotho, Andreas and Benz, Dominik and Eisterlehner, Folke and J{\"a}schke, Robert and Krause, Beate and Schmitz, Christoph and Stumme, Gerd}, file = {dpunkt Product page:http\://hmd.dpunkt.de/271/05.html:URL}, interhash = {4555775b639fe1ec65a302a61ee6532c}, intrahash = {250d83c41fb10b89c73f54bd7040bd6e}, issn = {1436-3011}, journal = {HMD -- Praxis der Wirtschaftsinformatik}, month = {#feb#}, pages = {47-58}, title = {{Publikationsmanagement mit BibSonomy -- ein Social-Bookmarking-System f{\"u}r Wissenschaftler}}, volume = {Heft 271}, year = 2010 } @article{springerlink:10.1007/s00287-010-0485-8, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung.}, address = {Berlin / Heidelberg}, affiliation = {Fachgebiet Wissensverarbeitung, Universität Kassel, Kassel, Deutschland}, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {dc30e162dbb8700abdde78f86037cf2e}, intrahash = {69f3738deecd73594907183aa874ec1a}, issn = {0170-6012}, journal = {Informatik-Spektrum}, keyword = {Computer Science}, pages = {1-12}, publisher = {Springer}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, year = 2010 } @book{ABHS:10, editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, interhash = {9815398a19b44982b6e1b406d1eea00c}, intrahash = {060c675871a5e2173af200bd12f6f3ff}, publisher = {Department of Electrical Engineering/Computer Science, Kassel University}, series = {Technical report (KIS), 2010-10}, title = {{Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivit\"at}}, year = 2010 } @article{benz2010social, abstract = {Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.}, address = {Berlin / Heidelberg}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd}, doi = {10.1007/s00778-010-0208-4}, interhash = {57fe43734b18909a24bf5bf6608d2a09}, intrahash = {5d9541d5e8470a1867d995d3e0514697}, issn = {1066-8888}, journal = {The VLDB Journal}, publisher = {Springer}, title = {The social bookmark and publication management system BibSonomy}, url = {http://dx.doi.org/10.1007/s00778-010-0208-4}, year = 2010 } @article{lerch2010datenschutz, author = {Lerch, Hana and Krause, Beate and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, interhash = {bbe328f35326b84db30c14648c176384}, intrahash = {fc44b1bdc724bbda45d08e35cba8b0ec}, journal = {MultiMedia und Recht}, pages = {454-458}, title = {Social Bookmarking-Systeme – die unerkannten Datensammler - Ungewollte personenbezogene Datenverabeitung?}, volume = 7, year = 2010 } @inproceedings{stumme2004iceberg, address = {Heidelberg}, author = {Stumme, Gerd}, booktitle = {Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004)}, comment = {alpha}, editor = {Wolff, Karl Erich and Pfeiffer, Heather D. and Delugach, Harry S.}, interhash = {5e81311b4e69d49a2f0aa7cd3f52b21d}, intrahash = {70b05439d41b24c2476e9eba1f74ec87}, pages = {109-125}, publisher = {Springer}, series = {LNCS}, title = {Iceberg Query Lattices for Datalog}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/stumme2004iceberg.pdf}, volume = 3127, year = 2004 } @inproceedings{markines2009evaluating, abstract = {Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We ?nd that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity.}, author = {Markines, Benjamin and Cattuto, Ciro and Menczer, Filippo and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {18th International World Wide Web Conference}, interhash = {a266558ad4d83d536a0be2ac94b6b7df}, intrahash = {d16e752a8295d5dad7e26b199d9f614f}, month = {April}, pages = {641--650}, title = {Evaluating Similarity Measures for Emergent Semantics of Social Tagging}, url = {http://www2009.eprints.org/65/}, year = 2009 } @article{jws2006Semantic, abstract = {SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining. This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on improving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of these resources. Therefore, automated schemes for learning the relevant information are increasingly being used. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web sites and navigation behavior are becoming more and more common. Furthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.}, author = {Stumme, Gerd and Hotho, Andreas and Berendt, Bettina}, interhash = {3fd4efcf649ab35e8ef001f19b7ff83c}, intrahash = {9937253e6b2591267a0596fa597a4b96}, journal = {Journal of Web Semantics}, number = 2, pages = {124-143}, publisher = {Elsevier}, title = {Semantic Web Mining - State of the Art and Future Directions}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/stumme2006semantic.pdf}, volume = 4, year = 2006 } @inproceedings{hoser2006semantic, abstract = {A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as (labeled, directed) graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA). While social network structures in general currently receive high attention in the Semantic Web community, there are only very few SNA applications up to now, and virtually none for analyzing the structure of ontologies. We illustrate in this paper the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality based on Hermitian matrices, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size.}, address = {Heidelberg}, author = {Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {The Semantic Web: Research and Applications}, editor = {Sure, York and Domingue, John}, interhash = {344ec3b4ee8af1a2c6b86efc14917fa9}, intrahash = {c0cdbeab23ce0fc1bff5e02c99aab012}, month = {June}, pages = {514-529}, publisher = {Springer}, series = {LNAI}, title = {Semantic Network Analysis of Ontologies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hoser2006semantic.pdf}, volume = 4011, year = 2006 } @article{jaeschke08discovering, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, interhash = {cfca594f9dbe30694bfbcdeb40dc4e88}, intrahash = {eb0bdaeab0aa5d4c528c97e2b10770b9}, journal = {Journal of Web Semantics}, number = 1, pages = {38-53}, title = {Discovering Shared Conceptualizations in Folksonomies}, url = {http://dx.doi.org/10.1016/j.websem.2007.11.004}, volume = 6, year = 2008 } @proceedings{hitzler05foundational, editor = {Hitzler, Pascal and Lutz, Carsten and Stumme, Gerd}, interhash = {de7981dbfeb60cf92067c85afe32f97b}, intrahash = {0393491bcf7e04cecdcbea3b9c8725f9}, issn = {1860-4471}, publisher = {Universität Koblenz-Landau}, series = {Fachberichte Informatik der Universit{\"a}t Koblenz-Landau}, title = {Foundational Aspects of Ontologies}, url = {http://www.aifb.uni-karlsruhe.de/WBS/phi/FOnt2005/}, volume = {9-2005}, year = 2005 } @proceedings{dau05contributions, address = {Kassel}, booktitle = {Contributions to ICCS 2005}, editor = {Dau, Frithjof and Mugnier, Marie-Laure and Stumme, Gerd}, interhash = {1d639a4ee220bfb2e4e345921da8f57b}, intrahash = {922eeab1c4a936636813e44c6b42092e}, isbn = {3-89958-138-5}, publisher = {kassel university press}, title = {Contributions to ICCS 2005}, url = {http://www.kde.cs.uni-kassel.de/conf/iccs05}, year = 2005 } @proceedings{conf/iccs/2005, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {ICCS}, editor = {Dau, Frithjof and Mugnier, Marie-Laure and Stumme, Gerd}, interhash = {a8f702ec263f350956e647b7e0b54ee0}, intrahash = {049a73d0f39efc7d4d988f262911c6f4}, isbn = {3-540-27783-8}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Conceptual Structures: Common Semantics for Sharing Knowledge, 13th International Conference on Conceptual Structures, ICCS 2005, Kassel, Germany, July 17-22, 2005, Proceedings}, url = {http://www.kde.cs.uni-kassel.de/conf/iccs05}, volume = 3596, year = 2005 } @proceedings{ganter05formal, address = {Heidelberg}, comment = {alpha}, editor = {Ganter, B. and Stumme, G. and Wille, R.}, interhash = {171ebaf9a115bc54c00bf293d4fa75ed}, intrahash = {4e6c1bef0f8f3e3358c4698ec1a17283}, note = {http://www.informatik.uni-trier.de/~ley/db/conf/fca/fca2005.html}, publisher = {Springer}, series = {LNAI}, title = {Formal Concept Analysis: Foundations and Applications}, url = {http://www.springerlink.com/content/978-3-540-27891-7/}, volume = 3626, year = 2005 } @inproceedings{conf/dagstuhl/Stumme05, author = {Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Semantic Interoperability and Integration}, editor = {Kalfoglou, Yannis and Schorlemmer, W. Marco and Sheth, Amit P. and Staab, Steffen and Uschold, Michael}, ee = {http://drops.dagstuhl.de/opus/volltexte/2005/49}, interhash = {9206884ea0e91905062366300cfc4870}, intrahash = {225d908cff3ee338f7595032f236fd07}, publisher = {IBFI, Schloss Dagstuhl, Germany}, series = {Dagstuhl Seminar Proceedings}, title = {Ontology Merging with Formal Concept Analysis}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/stumme2005ontology.pdf}, volume = 04391, year = 2005 } @inproceedings{stumme05finite, address = {Heidelberg}, author = {Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Proc. 3rd Intl. Conf. on Formal Concept Analysis}, editor = {Ganter, Bernhard and Godin, Robert}, ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3403{\&}spage=315}, interhash = {7d85e1092613fd7c91d6ba5dfcf4a044}, intrahash = {1671b75099da5291bf20aefe0d22f3b4}, isbn = {3-540-24525-1}, pages = {315-328}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {A Finite State Model for On-Line Analytical Processing in Triadic Contexts}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/stumme2005finite.pdf}, volume = 3403, year = 2005 } @inproceedings{tane04semantic, author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Proc. 13th International World Wide Web Conference (WWW 2004)}, ee = {http://doi.acm.org/10.1145/1013369}, interhash = {92089bd1e3e798b50fe7c82cd8333e7b}, intrahash = {10efb9940c6f2881cd6c84b6c52bebd8}, pages = {1-10}, title = {Semantic resource management for the web: an e-learning application}, url = {http://www.www2004.org/proceedings/docs/2p1.pdf}, year = 2004 } @inproceedings{cimiano2004concept, abstract = {Among many other knowledge representations formalisms, Ontologies and Formal Concept Analysis (FCA) aim at modeling 'concepts'. We discuss how these two formalisms may complement another from an application point of view. In particular, we will see how FCA can be used to support Ontology Engineering, and how ontologies can be exploited in FCA applications. The interplay of FCA and ontologies is studied along the life cycle of an ontology: (i) FCA can support the building of the ontology as a learning technique. (ii) The established ontology can be analyzed and navigated by using techniques of FCA. (iii) Last but not least, the ontology may be used to improve an FCA application.}, address = {Heidelberg}, author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien}, booktitle = {Concept Lattices}, editor = {Eklund, Peter}, interhash = {e42d9895b0d816f231227f1be15b03dc}, intrahash = {062d956cd265215f53fdc7b8401b7f15}, isbn = {3-540-23258-3}, organization = {Second International Conference on Formal Concept Analysis, ICFCA 2004}, pages = {189-207}, publisher = {Springer}, series = {LNAI}, title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/cimiano2004concept.pdf}, volume = 2961, year = 2004 } @proceedings{berendt2004web, address = {Heidelberg}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, interhash = {d7c78aa71fa7487dacfd9172467f1912}, intrahash = {be8b91e0c05dde74a4af7123b949c6ac}, isbn = {3-540-23258-3}, note = {http://km.aifb.uni-karlsruhe.de/ws/ewmf03/}, publisher = {Springer}, series = {LNAI}, title = {Web Mining: From Web to Semantic Web, First European Web Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers}, url = {http://springerlink.metapress.com/content/unvvag26dttf/}, volume = 3209, year = 2004 } @inproceedings{berendt2004roadmap, abstract = {The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.}, address = {Heidelberg}, author = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Web Mining: From Web to Semantic Web}, crossref = {DBLP:conf/ewmf/2003}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3209{\&}spage=1}, interhash = {a27cc056d337718c1e10a3f9e3048143}, intrahash = {158a99f0088fcefa45b1eb7f96aa5673}, pages = {1-22}, publisher = {Springer}, title = {A Roadmap for Web Mining: From Web to Semantic Web.}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf}, volume = 3209, year = 2004 } @incollection{berendt04usage, abstract = {Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of data Web mining operates on, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web resources and navigation behavior are increasingly being used. This fits exactly with the aims of the Semantic Web: the Semantic Web enriches the WWW by machine-processable information which supports the user in his tasks. In this paper, we discuss the interplay of the Semantic Web with Web Mining, with a specific focus on usage mining.}, address = {Boston}, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, booktitle = {Data Mining Next Generation Challenges and Future Directions}, editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena}, interhash = {272317659fc9bad03d6083a7afc1bc35}, intrahash = {0ef00fe39718eae61dca4d251b14578d}, isbn = {0-262-61203-8}, pages = {461-481}, publisher = {AAAI Press}, title = {Usage Mining for and on the Semantic Web}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}, year = 2004 } @proceedings{schmidt2004semantische, address = {Bonn}, booktitle = {INFORMATIK 2004 - Informatik verbindet}, editor = {Schmidt-Thieme, Lars and Stumme, Gerd and Rusnak, Ute and Eberhart, Andreas}, interhash = {d29ff2af2d0b8e81ad361e8676453b65}, intrahash = {3f12ffb00a1103c870035c095306f430}, journal = {LNI}, pages = {158-212}, publisher = {Gesellschaft für Informatik}, series = {LNI}, title = {Semantische Technologien für Informationsportale}, url = {http://www.gi-ev.de/service/publikationen/gi-edition-lecture-notes-in-informatics-lni-2005/mehr-zu-diesem-buch/gi-edition-lecture-notes-in-informatics-lni-p-51/}, volume = 51, year = 2004 } @proceedings{alani2006proceedings, editor = {Alani, Harith and Hoser, Bettina and Schmitz, Christoph and Stumme, Gerd}, interhash = {e991143409a8f4acb9eabfe08a38e387}, intrahash = {786a452a14c5189d82dc56f16cc2a266}, title = {Proceedings of the 2nd Workshop on Semantic Network Analysis}, url = {http://www.kde.cs.uni-kassel.de/ws/sna2006/}, year = 2006 } @inproceedings{hotho2006bibsonomy, abstract = {Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies and briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references in a kind of personal library.}, address = {Aalborg}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures}, editor = {de Moor, Aldo and Polovina, Simon and Delugach, Harry}, interhash = {d28c9f535d0f24eadb9d342168836199}, intrahash = {5854a71547051543dd3d3d5e2e2f2b67}, isbn = {87-7307-769-0}, pages = {87-102}, publisher = {Aalborg Universitetsforlag}, title = {{BibSonomy}: A Social Bookmark and Publication Sharing System}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf}, year = 2006 } @inproceedings{schmitz2006mining, abstract = {Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. These systems provide currently relatively few structure. We discuss in this paper, how association rule mining can be adopted to analyze and structure folksonomies, and how the results can be used for ontology learning and supporting emergent semantics. We demonstrate our approach on a large scale dataset stemming from an online system.}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.}, editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {11b2a59a568d246d7f36cb68169a464a}, month = {July}, pages = {261--270}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, title = {Mining Association Rules in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf}, year = 2006 } @proceedings{stumme05semanticnetworkanalysis, address = {Aachen}, editor = {Stumme, Gerd and Hoser, Bettina and Schmitz, Christoph and Alani, Harith}, interhash = {6316cb226778a6a6f156821f975b2ba3}, intrahash = {c44763991d44182c53606a2c93054f26}, issn = {1613-0073}, publisher = {CEUR Proceedings}, title = {Proceedings of the First Workshop on Semantic Network Analysis }, url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/}, year = 2005 } @inproceedings{berendt05semantic, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space}, editor = {Svatek, Vojtech and Snasel, Vaclav}, interhash = {e4b853ff13b63a88b009610890b89348}, intrahash = {f8826ba2790eeb857dd4becb31a08225}, isbn = {80-248-0864-1}, pages = {1-16}, publisher = {Technical University of Ostrava}, title = {Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf}, year = 2005 } @proceedings{berendt05european, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semerano, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and van Someren, Maarten}, interhash = {6dfd547a42a7bd5ccacce75ea8875704}, intrahash = {f306e43da22adede0286917d5d83eb3b}, title = {Proc. of the European Web Mining Forum 2005}, url = {http://www.kde.cs.uni-kassel.de/ws/ewmf05}, year = 2005 } @inproceedings{stumme05conceptual, address = {Trondheim}, author = {Stumme, Gerd}, booktitle = {Ontologies-based techniques for DataBases and Information Systems}, editor = {Collard, Martine and Cavarero, Jean-Louis}, interhash = {946495ceddb971b4c276e1d1581eaf59}, intrahash = {c0fef31a406a9e305ea459d24af29e0d}, pages = 5, title = {Conceptual Knowledge Processing (Invited Talk)}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/stumme2005some_slides.pdf}, year = 2005 } @article{pasquier2005generating, author = {Pasquier, Nicolas and Taouil, Rafik and Bastide, Yves and Stumme, Gerd and Lakhal, Lotfi}, comment = {alpha}, interhash = {cb0ee99fae39f2a5e0af5be9d97978f5}, intrahash = {40f59a7fa7ce5015f9ee81709db89de0}, journal = {Journal Intelligent Information Systems (JIIS)}, number = 1, pages = {29-60}, publisher = {Kluwer Academic Publishers}, title = {Generating a Condensed Representation for Association Rules}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf}, volume = 24, year = 2005 } @proceedings{alani2007workshop, address = {Banff, Canada}, editor = {Alani, Harith and Noy, Natasha and Stumme, Gerd and Mika, Peter and Sure, York and Vrandecic, Denny}, interhash = {377c136010d79673ae5aaf7cf0cd84cb}, intrahash = {aac9110f5a4e2e00028f0466555ce8d4}, title = {Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007}, url = {http://www2007.org/workshop-W7.php}, year = 2007 }