@article{martin2011enhancing, author = {Atzmueller, Martin and Benz, Dominik and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Macek, Bjoern Elmar and Mitzlaff, Folke and Scholz, Christoph and Stumme, Gerd}, booktitle = {it - Information Technology}, comment = {doi: 10.1524/itit.2011.0631}, doi = {10.1524/itit.2011.0631}, interhash = {e57bff1f73b74e6f1fe79e4b40956c35}, intrahash = {1dc34c1620c45a9bbd548bb73f989aea}, issn = {16112776}, journal = {it - Information Technology}, month = may, number = 3, pages = {101--107}, publisher = {Oldenbourg Wissenschaftsverlag GmbH}, title = {Enhancing Social Interactions at Conferences}, url = {http://dx.doi.org/10.1524/itit.2011.0631}, volume = 53, year = 2011 } @article{strohmaier2011evaluation, author = {Strohmaier, Markus and Helic, Denis and Benz, Dominik and Körner, Christian and Kern, Roman}, interhash = {87e110b0ade230877db6855cacabcb4d}, intrahash = {603161eb4c5b2f87f3d3a50f87015337}, journal = {Transactions on Intelligent Systems and Technology}, title = {Evaluation of Folksonomy Induction Algorithms}, url = {http://tist.acm.org/index.html}, vgwort = {43}, year = 2012 } @inproceedings{atzmueller2011towards, author = {Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011)}, editor = {Passant, Alexandre and Fernández, Sergio and Breslin, John and Bojārs, Uldis}, interhash = {b9df5d520443a31afb22eacb9fec1d28}, intrahash = {689b283ba030bb78ed94146aae4bc760}, title = {Towards Mining Semantic Maturity in Social Bookmarking Systems}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/atzmueller2011towards.pdf}, year = 2011 } @inproceedings{mitzlaff2011community, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Analysis of Social Media and Ubiquitous Data}, interhash = {1ef065a81ed836dfd31fcc4cd4da133b}, intrahash = {0f45e870093c053e6f41f54c14bda46b}, series = {LNAI}, title = {{Community Assessment using Evidence Networks}}, volume = 6904, year = 2011 } @book{hotho2008challenge, editor = {Hotho, Andreas and Benz, Dominik and Jäschke, Robert and Krause, Beate}, interhash = {fbcdc431904808bb868f09734b91af87}, intrahash = {1d5d5ef0bb222cb2f3adef4d6b06f1ea}, publisher = {Workshop at 18th Europ. Conf. on Machine Learning (ECML'08) / 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'08)}, title = {ECML PKDD Discovery Challenge 2008 (RSDC'08)}, url = {http://www.kde.cs.uni-kassel.de/ws/rsdc08/pdf/all_rsdc_v2.pdf}, year = 2008 } @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 = {5eb699b2e53803ca9e5fadf22d8b5966}, issn = {1066-8888}, issue = {6}, journal = {The VLDB Journal}, keyword = {Computer Science}, 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 } @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 } @article{NGO10b, author = {{Ngonga Ngomo}, {Axel-Cyrille}}, booktitle = {Proceedings of Symposium on Machine Learning in Systems Biology 2010}, interhash = {b5f0c52d8ec78cdf73494c09f399f1a1}, intrahash = {c63e4c8d9bc6af489269f27ff6b166f9}, owner = {ngonga}, timestamp = {2011.02.10}, title = {Parameter-Free Clustering of Protein-Protein Interaction Graphs}, url = {http://mlsb10.ijs.si/files/MLSB10-Proceedings.pdf}, year = 2010 } @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}, vgwort = {26}, year = 2011 } @article{johanning09, author = {Johanning, Michael and Varon, Andres F. and Wunderlich, Christof}, editor = {editor of hell}, interhash = {a5f5f558d8c0eb5543000a40d69c61bf}, intrahash = {2b7d2210e5b639088a753abac0b39151}, journal = {Journal of Physics B: Atomic, Molecular and Optical Physics}, number = 15, pages = 154009, title = {Quantum simulations with cold trapped ions asdf}, url = {http://iopscience.iop.org/0953-4075/42/15/154009}, volume = 42, year = 2009 } @inproceedings{eckert2007interactive, author = {Eckert, Kai and Stuckenschmidt, Heiner and Pfeffer, Magnus}, booktitle = {{Proceedings of The Fourth International Conference on Knowledge Capture (K-CAP 2007), Whistler, Canada}}, file = {Eckert2007.pdf:Eckert2007.pdf:PDF}, groups = {public}, interhash = {ed07592063fba9dd7e75ed9e1eb134d8}, intrahash = {0ecbdca910d24d374cb83d2a06f8669d}, owner = {dbe}, pdf = {http://ki.informatik.uni-mannheim.de/fileadmin/publication/Eckert07Thesaurus.pdf}, timestamp = {2011-01-31 12:58:02}, title = {{Interactive Thesaurus Assessment for Automatic Document Annotation}}, username = {dbenz}, year = 2007 } @inproceedings{benz2010semantics, address = {Raleigh, NC, USA}, author = {Benz, Dominik and Hotho, Andreas and Stützer, Stefan and Stumme, Gerd}, booktitle = {Proceedings of the 2nd Web Science Conference (WebSci10)}, file = {benz2010semantics.pdf:benz2010semantics.pdf:PDF}, interhash = {d4a2f14bb27ce220ba43f651e42aeddc}, intrahash = {16c77e486fb8bc527eb7734b153932ab}, title = {Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010semantics.pdf}, year = 2010 } @inproceedings{bade2008evaluation, abstract = {Several learning tasks comprise hierarchies. Comparison with a "goldstandard" is often performed to evaluate the quality of a learned hierarchy. We assembled various similarity metrics that have been proposed in different disciplines and compared them in a unified interdisciplinary framework for hierarchical evaluation which is based on the distinction of three fundamental dimensions. Identifying deficiencies for measuring structural similarity, we suggest three new measures for this purpose, either extending existing ones or based on new ideas. Experiments with an artificial dataset were performed to compare the different measures. As shown by our results, the measures vary greatly in their properties.}, address = {Berlin-Heidelberg}, author = {Bade, Korinna and Benz, Dominik}, booktitle = {Proceedings of the 32nd Annual Conference of the German Classification Society - Advances in Data Analysis, Data Handling and Business Intelligence (GfKl 2008)}, file = {bade2008evaluation.pdf:bade2008evaluation.pdf:PDF}, groups = {public}, interhash = {8bb09e3197d01f7c23481c2cd68533af}, intrahash = {ec033805bc90ab87c99860e29f0d00dd}, note = {in press}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, timestamp = {2008-12-19 09:18:13}, title = {Evaluation Strategies for Learning Algorithms of Hierarchical Structures}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/bade2008evaluation.pdf}, username = {dbenz}, year = 2008 } @book{atzmueller2010proceedings, editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, file = {atzmueller2010proceedings.pdf:atzmueller2010proceedings.pdf:PDF}, 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}}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/atzmueller2010proceedings.pdf}, year = 2010 } @inproceedings{benz2008analyzing, abstract = {The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.}, author = {Benz, Dominik and Grobelnik, Marko and Hotho, Andreas and Jäschke, Robert and Mladenic, Dunja and Servedio, Vito D. P. and Sizov, Sergej and Szomszor, Martin}, booktitle = {Proceedings of the Dagstuhl Seminar on Social Web Communities}, editor = {Alani, Harith and Staab, Steffen and Stumme, Gerd}, file = {benz2008analyzing.pdf:benz2008analyzing.pdf:PDF}, groups = {public}, interhash = {d738d9d90c1c466ee0a73ac0cc3dc4c1}, intrahash = {6918e578527dec96abb5718f105d9f78}, issn = {1862-4405}, number = 08391, timestamp = {2009-10-01 18:35:30}, title = {Analyzing Tag Semantics Across Collaborative Tagging Systems}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2008analyzing.pdf}, username = {dbenz}, year = 2008 } @inproceedings{benz2009characterizing, address = {Bled, Slovenia}, author = {Benz, Dominik and Krause, Beate and Kumar, G. Praveen and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009)}, file = {benz2009characterizing.pdf:benz2009characterizing.pdf:PDF}, groups = {public}, interhash = {de5e58b26200e44112d9791f39e7523d}, intrahash = {b697a98a7340585594455ee2e81d238a}, month = {September}, timestamp = {2009-11-16 10:24:13}, title = {Characterizing Semantic Relatedness of Search Query Terms}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009characterizing.pdf}, username = {dbenz}, year = 2009 } @inproceedings{cattuto2008semantica, abstract = {Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For taskslike synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Eventhough most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptionson the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity interms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures oftag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding isprovided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measuresof semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.}, address = {Heidelberg}, author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {The Semantic Web -- ISWC 2008, Proc.Intl. Semantic Web Conference 2008}, doi = {http://dx.doi.org/10.1007/978-3-540-88564-1_39}, editor = {Sheth, Amit P. and Staab, Steffen and Dean, Mike and Paolucci, Massimo and Maynard, Diana and Finin, Timothy W. and Thirunarayan, Krishnaprasad}, file = {cattuto2008semantica.pdf:cattuto2008semantica.pdf:PDF}, groups = {public}, interhash = {b44538648cfd476d6c94e30bc6626c86}, intrahash = {27198c985b3bdb6daab0f7e961b370a9}, pages = {615--631}, publisher = {Springer}, series = {LNAI}, timestamp = {2009-09-14 19:12:46}, title = {Semantic Grounding of Tag Relatedness in Social Bookmarking Systems}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/cattuto2008semantica.pdf}, username = {dbenz}, volume = 5318, year = 2008 } @inproceedings{koerner2010stop, 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)}, file = {koerner2010stop.pdf:koerner2010stop.pdf:PDF}, groups = {public}, 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/pub/pdf/koerner2010stop.pdf}, username = {dbenz}, year = 2010 } @inproceedings{benz2006automatic, abstract = {Bookmarks (or Favorites, Hotlists) are a popular strategy to relocate interesting websites on the WWW by creating a personalized local URL repository. Most current browsers offer a facility to store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable taxonomy. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification�? of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbour-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. Additionally, a procedure to generate keyword recommendations is proposed to ease the annotation of new bookmarks. A prototype system called CariBo has been implemented as a plugin of the central bookmark server software SiteBar. A case study conducted with real user data supports the validity of the approach.}, address = {Edinburgh, Scotland}, author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars}, booktitle = {Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006}, file = {benz2006automatic.pdf:benz2006automatic.pdf:PDF}, interhash = {72efbe1b69d12bc3ce35522bc1c83e82}, intrahash = {9d685c05008804a45b72a43586777b3b}, month = May, note = {isbn = {085432853X}}, title = {Automatic Bookmark Classification - A Collaborative Approach}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2006automatic.pdf}, year = 2006 } @article{benz2007supporting, abstract = {Bookmarks (or favorites, hotlists) are popular strategies to relocate interesting websites on the WWW by creating a personalized URL repository. Most current browsers offer a facility to locally store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable organization structure. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification�? of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbor-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. A prototype system called CariBo has been implemented as a plugin for the central bookmark server software SiteBar. All findings have been evaluated on a reasonably large scale, real user dataset with promising results, and possible implications for shared and social bookmarking systems are discussed.}, author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars}, doi = {http://dx.doi.org/10.1016/j.comnet.2007.06.014}, file = {benz2007supporting.pdf:benz2007supporting.pdf:PDF}, interhash = {181404c6a55baf6fe5db8448ac0d5bf0}, intrahash = {ec4387ab22950b38a0c152d4f33b0987}, journal = {Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure}, number = 16, pages = {4574--4585}, title = {Supporting Collaborative Hierarchical Classification: Bookmarks as an Example}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007supporting.pdf}, volume = 51, year = 2007 }