This book constitutes a collection of research achievements mature enough to provide a firm and reliable basis on modular ontologies. It discusses the recent concepts, theories and techniques for knowledge modularization.
Summary hebis}, address = {Berlin, Heidelberg}, edition = {1st ed. 2009}, editor = {Stuckenschmidt, Heiner and Parent, Christine and Spaccapietra, Stefano}, format = {ebook}, interhash = {abaa570522edef36c2903af8e99c8423}, intrahash = {2c6ceaad4f961cb093c4dd40d414540d}, isbn = {9783642019074}, partauthors = {Stuckenschmidt, Heiner (Herausgeber) Parent, Christine (Herausgeber) Spaccapietra, Stefano (Herausgeber)}, publisher = {Springer Berlin Heidelberg}, series = {Theoretical Computer Science and General Issues}, shortsubtitle = {: Concepts, Theories and Techniques for Knowledge Modularization}, shorttitle = {Modular Ontologies : Concepts, Theories and Techniques for Knowledge Modularization}, subtitle = {Concepts, Theories and Techniques for Knowledge Modularization / edited by Heiner Stuckenschmidt, Christine Parent, Stefano Spaccapietra}, title = {Modular Ontologies : Concepts, Theories and Techniques for Knowledge Modularization}, titlestatement = {edited by Heiner Stuckenschmidt, Christine Parent, Stefano Spaccapietra}, uniqueid = {HEB213395150}, url = {https://doi.org/10.1007/978-3-642-01907-4}, year = 2009 } @book{bertin1974graphische, address = {Berlin [u.a.]}, author = {Bertin, Jacques}, editor = {Jensch, Georg}, format = {book}, interhash = {90ae920b0fee7923b0cd706518810d3c}, intrahash = {5f010e60591984ca2ea25d5a3e74de0b}, isbn = {3110036606}, partauthors = {Jensch, Georg (Bearb.)}, primaryauthor = {Bertin, Jacques}, publisher = {de Gruyter}, shortsubtitle = {: Diagramme, Netze, Karten}, shorttitle = {Graphische Semiologie : Diagramme, Netze, Karten}, subtitle = {Diagramme, Netze, Karten / Jacques Bertin. Übers. u. bearb. nach d. 2. franz. Aufl. von Georg Jensch ...}, title = {Graphische Semiologie : Diagramme, Netze, Karten}, titlestatement = {Jacques Bertin. Übers. u. bearb. nach d. 2. franz. Aufl. von Georg Jensch ...}, uniqueid = {HEB034827188}, url = {http://scans.hebis.de/HEBCGI/show.pl?03482718_toc.pdf}, year = 1974 } @book{bertin1982graphische, address = {Berlin [u.a.]}, author = {Bertin, Jacques}, editor = {Scharfe, Wolfgang}, format = {book}, interhash = {56d32ca92eb46979a4c431cbec5c7f77}, intrahash = {94690148e35427e798ee0a7a29b282ce}, isbn = {3110069008}, partauthors = {Scharfe, Wolfgang (Bearb.)}, primaryauthor = {Bertin, Jacques}, publisher = {de Gruyter}, shorttitle = {Graphische Darstellungen und die graphische Weiterverarbeitung der Information}, subtitle = {Jacques Bertin. Übers. u. bearb. von Wolfgang Scharfe}, title = {Graphische Darstellungen und die graphische Weiterverarbeitung der Information}, titlestatement = {Jacques Bertin. Übers. u. bearb. von Wolfgang Scharfe}, uniqueid = {HEB034827080}, url = {http://scans.hebis.de/HEBCGI/show.pl?03482708_toc.pdf}, year = 1982 } @inproceedings{4587819, abstract = {We present a statistical learning approach for finding recreational trails in aerial images. While the problem of recognizing relatively straight and well defined roadways in digital images has been well studied in the literature, the more difficult problem of extracting trails has received no attention. However, trails and rough roads are less likely to be adequately mapped, and change more rapidly over time. Automated tools for finding trails will be useful to cartographers, recreational users and governments. In addition, the methods developed here are applicable to the more general problem of finding linear structure. Our approach combines local estimates for image pixel trail probabilities with the global constraint that such pixels must link together to form a path. For the local part, we present results using three classification techniques. To construct a global solution (a trail) from these probabilities, we propose a global cost function that includes both global probability and path length. We show that the addition of a length term significantly improves trail finding ability. However, computing the optimal trail becomes intractable as known dynamic programming methods do not apply. Thus we describe a new splitting heuristic based on Dijkstra's algorithm. We then further improve upon the results with a trail sampling scheme. We test our approach on 500 challenging images along the 2500 mile continental divide mountain bike trail, where assumptions prevalent in the road literature are violated.}, author = {Morris, S. and Barnard, K.}, booktitle = {Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on}, doi = {10.1109/CVPR.2008.4587819}, interhash = {4886e90202778766c8832765ff291e44}, intrahash = {bcec19c981718168825ca203b6935204}, issn = {1063-6919}, month = {June}, pages = {1-8}, title = {Finding trails}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=4587819}, year = 2008 } @article{Nutanong:2011:IHD:2002974.2002978, abstract = {The Hausdorff distance is commonly used as a similarity measure between two point sets. Using this measure, a set X is considered similar to Y iff every point in X is close to at least one point in Y. Formally, the Hausdorff distance HausDist(X, Y) can be computed as the Max-Min distance from X to Y, i.e., find the maximum of the distance from an element in X to its nearest neighbor (NN) in Y. Although this is similar to the closest pair and farthest pair problems, computing the Hausdorff distance is a more challenging problem since its Max-Min nature involves both maximization and minimization rather than just one or the other. A traditional approach to computing HausDist(X, Y) performs a linear scan over X and utilizes an index to help compute the NN in Y for each x in X. We present a pair of basic solutions that avoid scanning X by applying the concept of aggregate NN search to searching for the element in X that yields the Hausdorff distance. In addition, we propose a novel method which incrementally explores the indexes of the two sets X and Y simultaneously. As an example application of our techniques, we use the Hausdorff distance as a measure of similarity between two trajectories (represented as point sets). We also use this example application to compare the performance of our proposed method with the traditional approach and the basic solutions. Experimental results show that our proposed method outperforms all competitors by one order of magnitude in terms of the tree traversal cost and total response time.}, acmid = {2002978}, author = {Nutanong, Sarana and Jacox, Edwin H. and Samet, Hanan}, doi = {10.14778/2002974.2002978}, interhash = {431cfc6757195ff943dc064d42e3dc57}, intrahash = {065b9da64ffb2abff443d8d9ff24abb2}, issn = {2150-8097}, issue_date = {May 2011}, journal = {Proc. VLDB Endow.}, month = may, number = 8, numpages = {12}, pages = {506--517}, publisher = {VLDB Endowment}, title = {An Incremental Hausdorff Distance Calculation Algorithm}, url = {http://dx.doi.org/10.14778/2002974.2002978}, volume = 4, year = 2011 } @book{imhof1997kassel, address = {Petersberg}, author = {Imhof, Michael}, interhash = {de66d716b992246867a2b172b1986f47}, intrahash = {13c55b9ef55e43c9885f0b01e5605032}, isbn = {3932526074 9783932526077}, publisher = {Imhof}, refid = {43830809}, title = {Kassel : Stadtführer}, url = {http://www.amazon.de/Kassel-Stadtf%C3%BChrer-Michael-Imhof/dp/3932526074/ref=sr_1_1?s=books&ie=UTF8&qid=1435743690&sr=1-1&keywords=kassel}, year = 1997 } @misc{clauset2007powerlaw, abstract = {Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately, the detection and characterization of power laws is complicated by the large fluctuations that occur in the tail of the distribution -- the part of the distribution representing large but rare events -- and by the difficulty of identifying the range over which power-law behavior holds. Commonly used methods for analyzing power-law data, such as least-squares fitting, can produce substantially inaccurate estimates of parameters for power-law distributions, and even in cases where such methods return accurate answers they are still unsatisfactory because they give no indication of whether the data obey a power law at all. Here we present a principled statistical framework for discerning and quantifying power-law behavior in empirical data. Our approach combines maximum-likelihood fitting methods with goodness-of-fit tests based on the Kolmogorov-Smirnov statistic and likelihood ratios. We evaluate the effectiveness of the approach with tests on synthetic data and give critical comparisons to previous approaches. We also apply the proposed methods to twenty-four real-world data sets from a range of different disciplines, each of which has been conjectured to follow a power-law distribution. In some cases we find these conjectures to be consistent with the data while in others the power law is ruled out.}, author = {Clauset, Aaron and Shalizi, Cosma Rohilla and Newman, M. E. J.}, doi = {10.1137/070710111}, interhash = {2e3bc5bbd7449589e8bfb580e8936d4b}, intrahash = {7da1624e601898dd74df839ce2daeb24}, note = {cite arxiv:0706.1062Comment: 43 pages, 11 figures, 7 tables, 4 appendices; code available at http://www.santafe.edu/~aaronc/powerlaws/}, title = {Power-law distributions in empirical data}, url = {http://arxiv.org/abs/0706.1062}, year = 2007 } @book{nbling2012namen, address = {Tübingen}, author = {Nübling, Damaris and Fahlbusch, Fabian and Heuser, Rita}, interhash = {750cccff95abefaa27424acc5c348ab8}, intrahash = {b4f0e65ae85fc6e2d36aefd5ef3ef7e9}, isbn = {9783823366850 3823366858}, publisher = {Narr}, refid = {789771672}, title = {Namen : Eine Einführung in die linguistische Onomastik}, url = {http://www.amazon.de/Namen-Eine-Einf%C3%BChrung-die-Onomastik/dp/3823366858/ref=pd_sim_b_1?ie=UTF8&refRID=1C6A2MX31P9A2VM9HG76}, year = 2012 } @article{PhysRevE.90.032804, author = {Ke, Qing and Ahn, Yong-Yeol}, doi = {10.1103/PhysRevE.90.032804}, interhash = {b6567439f34586ac3aec90b5065db043}, intrahash = {2a8d6bfbb99517ce9dbcf120d4e2135e}, journal = {Phys. Rev. E}, month = sep, number = 3, numpages = {7}, pages = 032804, publisher = {American Physical Society}, title = {Tie strength distribution in scientific collaboration networks}, url = {http://link.aps.org/doi/10.1103/PhysRevE.90.032804}, volume = 90, year = 2014 } @inproceedings{ATSK:14, address = {London, UK}, author = {Atzmueller, Martin and Thiele, Lisa and Stumme, Gerd and Kauffeld, Simone}, booktitle = {Proceedings of the 2014 International Smart University Workshop (SmartU 2014), London, UK}, interhash = {02bf7855560ff6708ea11e8c320d90dc}, intrahash = {35b065d3afc739bc42118a3b85ea57d0}, optpages = {1--12}, title = {{Evolution and Dynamics of Student Interaction on Networks of Face-to-Face Proximity}}, year = 2014 } @article{SIAS:14c, author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd}, interhash = {6a81e1de99a936c7b641546e284af20f}, intrahash = {3c8f0d99481312cf1543184948366b94}, journal = {CoRR}, opturl = {http://arxiv.org/abs/1407.0613}, title = {{On the Predictability of Talk Attendance at Academic Conferences (Extended Version)}}, volume = {abs/1407.0613}, year = 2014 } @article{doerfel2014cores, author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd}, interhash = {3d526c314b8a04d7cbd06b5e48f1dfe8}, intrahash = {2e56580361b37f1fe1501735ab05eafe}, journal = {Transactions on Intelligent Systems and Technology}, publisher = {ACM}, title = {The Role of Cores in Recommender Benchmarking for Social Bookmarking Systems}, year = 2014 } @inproceedings{SIAS:14b, address = {Aachen, Germany}, author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proc. LWA 2014 (KDML Special Track)}, interhash = {036eeb2c7b6ae2bab0be93301dd15abf}, intrahash = {653db2c6705c15c8fd9afe0536982a62}, publisher = {RTWH Aachen University}, title = {{On the Predictability of Talk Attendance at Academic Conferences (Extended Abstract, Resubmission)}}, year = 2014 } @article{SAS:14c, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, interhash = {56c79f29ee5d2631ded291a39f7952db}, intrahash = {b1d72d24278760d72fb0774543cfdb06}, journal = {Journal of Social Network Analysis and Mining}, number = 217, title = {{Predictability of Evolving Contacts and Triadic Closure in Human Face-to-Face Proximity Networks}}, volume = 4, year = 2014 } @inproceedings{TAKS:14, address = {Wageningen, The Netherlands}, author = {Thiele, Lisa and Atzmueller, Martin and Kauffeld, Simone and Stumme, Gerd}, booktitle = {Proc. Measuring Behavior}, interhash = {cbfc02b8d436fb395c0207677d9afe03}, intrahash = {db2582a5ca1a0a91ac9378f8dfcb7d8d}, title = {{Subjective versus Objective Captured Social Networks: Comparing Standard Self-Report Questionnaire Data with Observational RFID Technology Data}}, year = 2014 } @article{MAHS:14, author = {Mitzlaff, Folke and Atzmueller, Martin and Hotho, Andreas and Stumme, Gerd}, interhash = {61a66cc068526af6e6b2a3b629d72346}, intrahash = {46f7a831481ba0761e10798be044f691}, journal = {Journal of Social Network Analysis and Mining}, number = 216, title = {{The Social Distributional Hypothesis}}, volume = 4, year = 2014 } @inbook{SMADS:14, address = {Heidelberg, Germany}, author = {Scholz, Christoph and Macek, Bjoern-Elmar and Atzmueller, Martin and Doerfel, Stephan and Stumme, Gerd}, chapter = {{Mining Social Links for Ubiquitous Knowledge Engineering}}, editor = {David, Klaus and Geihs, Kurt and Leimeister, Jan-Marco and Roßnagel, Alexander and Schmidt, Ludger and Stumme, Gerd and Wacker, Arno}, interhash = {892e8ce5c72e6e47c51974cbdbcdcd71}, intrahash = {1cd46cc57f2a578d26d512d17f2b04b2}, publisher = {Springer Verlag}, title = {{Socio-technical Design of Ubiquitous Computing Systems}}, year = 2014 } @inbook{ABHKMSSSS:14, address = {Heidelberg, Germany}, author = {Atzmueller, Martin and Behrenbruch, Kay and Hoffmann, Axel and Kibanov, Mark and Macek, Bjoern-Elmar and Scholz, Christoph and Skistims, Hendrik and Söllner, Matthias and Stumme, Gerd}, chapter = {{Connect-U: A System for Enhancing Social Networking}}, editor = {David, Klaus and Geihs, Kurt and Leimeister, Jan-Marco and Roßnagel, Alexander and Schmidt, Ludger and Stumme, Gerd and Wacker, Arno}, interhash = {a3e215f96a328486628a4c9e3b5917b0}, intrahash = {55fca5af1fe9313324d9ee570e57fbe2}, publisher = {Springer Verlag}, title = {{Socio-technical Design of Ubiquitous Computing Systems}}, year = 2014 } @inproceedings{SIAS:14a, address = {New York, NY, USA}, author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proc. 25th ACM Conference on Hypertext and Social Media}, interhash = {0d109dea7c2d5bab0fdd68d212fb88cd}, intrahash = {9eae843cffe35355caf37658c8c391c5}, optpages = {245-254}, publisher = {ACM Press}, title = {{On the Predictability of Talk Attendance at Academic Conferences}}, year = 2014 } @incollection{noKey, abstract = {The application of ubiquitous and social computational systems shows a rapidly increasing trend in our everyday environments: Enhancing social interactions and communication in both online and real-world settings is an important issue in a broad range of application contexts. This chapter describes the development of ubiquitous and social software for enhancing social networking. The Connect-U demonstrator features a class of such applications. In particular, it comprises the Conferator and MyGroup applications for enabling smarter social interactions in the context of conferences and working groups. We describe the applied socio-technical design process, and discuss experiences and lessons learned.}, author = {Atzmueller, Martin and Behrenbruch, Kay and Hoffmann, Axel and Kibanov, Mark and Macek, Bjoern-Elmar and Scholz, Christoph and Skistims, Hendrik and Söllner, Matthias and Stumme, Gerd}, booktitle = {Socio-technical Design of Ubiquitous Computing Systems}, doi = {10.1007/978-3-319-05044-7_15}, editor = {David, Klaus and Geihs, Kurt and Leimeister, Jan Marco and Roßnagel, Alexander and Schmidt, Ludger and Stumme, Gerd and Wacker, Arno}, interhash = {324a07604f0e107ca3f147a4a12a171a}, intrahash = {9708321a82ff6f1b2dd9e5509399f169}, isbn = {978-3-319-05043-0}, language = {English}, pages = {261-275}, publisher = {Springer International Publishing}, title = {Connect-U: A System for Enhancing Social Networking}, url = {http://dx.doi.org/10.1007/978-3-319-05044-7_15}, year = 2014 } @incollection{scholz2014mining, abstract = {Exploiting social links is an important issue for enhancing ubiquitous knowledge engineering because they are a substitute for a wide range of properties depending on which relation spans the link: in case of human face-to-face contacts, similar locations or potential knowledge transfer for the people in contact can be derived. This information can be used to improve the quality of ubiquitous services as localization or recommendation systems. We capture this information by deploying active RFID setups at a variety of contexts. In this chapter, we focus especially on working groups and conferences and discuss and evaluate the achieved improvements using the gathered data.}, author = {Scholz, Christoph and Macek, Bjoern-Elmar and Atzmueller, Martin and Doerfel, Stephan and Stumme, Gerd}, booktitle = {Socio-technical Design of Ubiquitous Computing Systems}, doi = {10.1007/978-3-319-05044-7_7}, editor = {David, Klaus and Geihs, Kurt and Leimeister, Jan Marco and Roßnagel, Alexander and Schmidt, Ludger and Stumme, Gerd and Wacker, Arno}, interhash = {530ce0d71bc54eb7faea4fad8f4f8a4d}, intrahash = {9f18259717ccfc3c46a062950112f4d2}, isbn = {978-3-319-05043-0}, language = {English}, pages = {109-129}, publisher = {Springer International Publishing}, title = {Mining Social Links for Ubiquitous Knowledge Engineering}, url = {http://dx.doi.org/10.1007/978-3-319-05044-7_7}, year = 2014 } @article{DBLP:journals/corr/SAS_Arxiv14, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, ee = {http://arxiv.org/abs/1407.2161}, interhash = {3d6fc1f4eadda2f95eb84d455e17167e}, intrahash = {9c8ecf3df858805b00a204d7d7d40bea}, journal = {CoRR}, title = {Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity}, volume = {abs/1407.2161}, year = 2014 } @article{DBLP:journals/corr/SIAS_Arxiv14, author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, ee = {http://arxiv.org/abs/1407.0613}, interhash = {0d109dea7c2d5bab0fdd68d212fb88cd}, intrahash = {5e567bcf1520069b2754d3ecf196ad2b}, journal = {CoRR}, title = {On the Predictability of Talk Attendance at Academic Conferences}, volume = {abs/1407.0613}, year = 2014 } @inproceedings{scholz2014predictability, address = {Santiago, Chile, September 1-4}, author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd}, booktitle = {25th ACM Conference on Hypertext and Social Media (to appear)}, interhash = {0d109dea7c2d5bab0fdd68d212fb88cd}, intrahash = {221c41039256e475ad43d1d9721ae01e}, publisher = {ACM}, title = {On the Predictability of Talk Attendance at Academic Conferences}, year = 2014 } @inproceedings{SAS:14a, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proc. WWW 2014 (Companion)}, interhash = {0882363a1ebda6d57279735a4da12376}, intrahash = {1f1a67f541c62a959180223c539c27a2}, optaddress = {New York, NY, USA}, organization = {IW3C2 / ACM}, title = {{On the Predictability of Recurring Links in Networks of Face-to-Face Proximity}}, year = 2014 } @inproceedings{AEKSS:14, author = {Atzmueller, Martin and Ernst, Andreas and Krebs, Friedrich and Scholz, Christoph and Stumme, Gerd}, booktitle = {Proc. WWW 2014 (Companion)}, interhash = {8c281719ae6ad614bf278357c564d6f3}, intrahash = {14cca4bdf6b887bbf5ca48bb510435db}, optaddress = {New York, NY, USA}, organization = {IW3C2 / ACM}, title = {{On the Evolution of Social Groups During Coffee Breaks}}, year = 2014 } @article{ABKSDHMMMS:14, author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd}, doi = {10.1080/13614568.2013.873488}, interhash = {6364e034fa868644b30618dc887c0270}, intrahash = {176e4f2816af5fe1630ed65e062900ce}, journal = {New Review of Hypermedia and Multimedia}, number = 1, pages = {53--77}, title = {{Ubicon and its Applications for Ubiquitous Social Computing}}, volume = 20, year = 2014 } @article{KASS:14, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, interhash = {3952a54e9f3c299feab739ed13bd4e7c}, intrahash = {ea0f450249503499c0c553a2d51505cb}, journal = {Science China}, month = {March}, title = {{Temporal Evolution of Contacts and Communities in Networks of Face-to-Face Human Interactions}}, volume = 57, year = 2014 } @inproceedings{DBLP:conf/ismis/SAS14, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {ISMIS}, interhash = {51475ecd758cf5d4a6d7317981420af3}, intrahash = {d52a7bee8a41aa633ab63e419b042e31}, title = {Unsupervised and Hybrid Approaches for On-Line RFID Localization with Mixed Context Knowledge}, year = 2014 } @article{atzmueller2014ubicon, abstract = {The combination of ubiquitous and social computing is an emerging research area which integrates different but complementary methods, techniques and tools. In this paper, we focus on the Ubicon platform, its applications, and a large spectrum of analysis results. Ubicon provides an extensible framework for building and hosting applications targeting both ubiquitous and social environments. We summarize the architecture and exemplify its implementation using four real-world applications built on top of Ubicon. In addition, we discuss several scientific experiments in the context of these applications in order to give a better picture of the potential of the framework, and discuss analysis results using several real-world data sets collected utilizing Ubicon.}, author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd}, doi = {10.1080/13614568.2013.873488}, eprint = {http://www.tandfonline.com/doi/pdf/10.1080/13614568.2013.873488}, interhash = {6364e034fa868644b30618dc887c0270}, intrahash = {5d1ed63c337f8473d2b5b3b6c02a5f20}, journal = {New Review of Hypermedia and Multimedia}, number = 1, pages = {53-77}, title = {Ubicon and its applications for ubiquitous social computing}, url = {http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488}, volume = 20, year = 2014 } @inproceedings{atzmueller2014evolution, address = {Seoul, South Korea}, author = {Atzmueller, Martin and Ernst, Andreas and Krebs, Friedrich and Scholz, Christoph and Stumme, Gerd}, booktitle = {5th International Workshop on Modeling Social Media: Mining Big Data in Social Media at the 23rd International World Wide Web Conference, WWW 2014}, editor = {[accepted/to appear]}, interhash = {8c281719ae6ad614bf278357c564d6f3}, intrahash = {f4ac9a1ea3004fe310bc5951cfb5a802}, title = {On the Evolution of Social Groups During Coffee Breaks}, year = 2014 } @inproceedings{scholz2014predictability, address = {Seoul, South Korea}, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {5th International Workshop on Modeling Social Media: Mining Big Data in Social Media at the 23rd International World Wide Web Conference, WWW 2014}, editor = {[accepted/to appear]}, interhash = {0882363a1ebda6d57279735a4da12376}, intrahash = {e083ad7d039c28b4ecc000fda3fabc94}, title = {On the Predictability of Recurring Links in Networks of Face-to-Face Proximity}, year = 2014 } @article{DBLP:journals/chinaf/KASS14, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, ee = {http://dx.doi.org/10.1007/s11432-014-5067-y}, interhash = {3952a54e9f3c299feab739ed13bd4e7c}, intrahash = {89be5697c9f535678d1a9b82a49d8fe2}, journal = {SCIENCE CHINA Information Sciences}, title = {Temporal Evolution of Contacts and Communities in Networks of Face-to-Face Human Interactions}, volume = 57, year = 2014 } @article{ubicon-2014a, abstract = {The combination of ubiquitous and social computing is an emerging research area which integrates different but complementary methods, techniques and tools. In this paper, we focus on the Ubicon platform, its applications, and a large spectrum of analysis results. Ubicon provides an extensible framework for building and hosting applications targeting both ubiquitous and social environments. We summarize the architecture and exemplify its implementation using four real-world applications built on top of Ubicon. In addition, we discuss several scientific experiments in the context of these applications in order to give a better picture of the potential of the framework, and discuss analysis results using several real-world data sets collected utilizing Ubicon.}, author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd}, interhash = {6364e034fa868644b30618dc887c0270}, intrahash = {75405285b34f2628eee0bc4060575697}, issn = {1361-4568}, journal = {New Review of Hypermedia and Multimedia}, title = {Ubicon and its Applications for Ubiquitous Social Computing}, year = 2014 } @article{noKey, abstract = {Bildeten die Keimzellen des Internet noch kleine und einfach strukturierte Netze, so vergrößerten sich sowohl seine physikalischen als auch seine logischen Topologien später rasant. Wuchs einerseits das Netz aus Rechnern als Knoten und Verbindungsleitungen als Kanten immer weiter, so bedienten sich andererseits gleichzeitig immer mehr Anwendungen dieser Infrastruktur, um darüber ihrerseits immer größere und komplexere virtuelle Netze zu weben, z. B. das WWW oder soziale Online-Netze. Auf jeder Ebene dieser Hierarchie lassen sich die jeweiligen Netztopologien mithilfe von Graphen beschreiben und so mathematisch untersuchen. So ergeben sich interessante Einblicke in die Struktureigenschaften unterschiedlicher Graphentypen, die großen Einfluss auf die Leistungsfähigkeit des Internet haben. Hierzu werden charakteristische Eigenschaften und entsprechende Kenngrößen verschiedener Graphentypen betrachtet wie der Knotengrad, die Durchschnittsdistanz, die Variation der Kantendichte in unterschiedlichen Netzteilen und die topologische Robustheit als Widerstandsfähigkeit gegenüber Ausfällen und Angriffen. Es wird dabei Bezug genommen auf analytische, simulative und zahlreiche empirische Untersuchungen des Internets und hingewiesen auf Simulationsprogramme sowie Abbildungen von Internetgraphen im Internet. }, author = {Heidtmann, Klaus}, doi = {10.1007/s00287-012-0654-z}, interhash = {d1ab5ecb2270150ba3d46e156d3a1139}, intrahash = {783481b980117c756d4560c1640ae4a0}, issn = {0170-6012}, journal = {Informatik-Spektrum}, language = {German}, number = 5, pages = {440-448}, publisher = {Springer Berlin Heidelberg}, title = {Internet-Graphen}, url = {http://dx.doi.org/10.1007/s00287-012-0654-z}, volume = 36, year = 2013 } @article{mitzlaff2014social, abstract = {Applications of the Social Web are ubiquitous and have become an integral part of everyday life: Users make friends, for example, with the help of online social networks, share thoughts via Twitter, or collaboratively write articles in Wikipedia. All such interactions leave digital traces; thus, users participate in the creation of heterogeneous, distributed, collaborative data collections. In linguistics, the }, author = {Mitzlaff, Folke and Atzmueller, Martin and Hotho, Andreas and Stumme, Gerd}, doi = {10.1007/s13278-014-0216-2}, eid = {216}, interhash = {7e02f08a123c801c33ac93109394adfb}, intrahash = {5b268a7c5308af783c3028573ffcd0c0}, issn = {1869-5450}, journal = {Social Network Analysis and Mining}, language = {English}, number = 1, publisher = {Springer Vienna}, title = {The social distributional hypothesis: a pragmatic proxy for homophily in online social networks}, url = {http://dx.doi.org/10.1007/s13278-014-0216-2}, volume = 4, year = 2014 } @article{mueller-2014b, abstract = {The combination of ubiquitous and social computing is an emerging research area which integrates different but complementary methods, techniques and tools. In this paper, we focus on the Ubicon platform, its applications, and a large spectrum of analysis results. Ubicon provides an extensible framework for building and hosting applications targeting both ubiquitous and social environments. We summarize the architecture and exemplify its implementation using four real-world applications built on top of Ubicon. In addition, we discuss several scientific experiments in the context of these applications in order to give a better picture of the potential of the framework, and discuss analysis results using several real-world data sets collected utilizing Ubicon.}, author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd}, doi = {10.1080/13614568.2013.873488}, interhash = {6364e034fa868644b30618dc887c0270}, intrahash = {d38f1e01e735253b4cad2c98c1027659}, issn = {1361-4568}, journal = {New Review of Hypermedia and Multimedia}, month = {#mar#}, number = 20, pages = {53--77}, title = {Ubicon and its Applications for Ubiquitous Social Computing}, url = {http://dx.doi.org/10.1080/13614568.2013.873488}, volume = 1, year = 2014 } @phdthesis{2510700, author = {Grahl, Miranda}, interhash = {e3187d0eda3e49ee5344c2b556533a4a}, intrahash = {aed483f437bf6535e38d68f966880172}, language = {English}, publisher = {Bielefeld University}, school = {Bielefeld University}, title = {Focus of attention on relevant multimodal events : a developmentally inspired architecture for active vision}, year = 2012 } @incollection{noKey, abstract = {Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research.}, author = {Poelmans, Jonas and Ignatov, DmitryI. and Viaene, Stijn and Dedene, Guido and Kuznetsov, SergeiO.}, booktitle = {Advances in Data Mining. Applications and Theoretical Aspects}, doi = {10.1007/978-3-642-31488-9_22}, editor = {Perner, Petra}, interhash = {04d543b37049a90f2cbd796585bda214}, intrahash = {f6eddba1f2c6b7cdbfa67a0c79ae5ae8}, isbn = {978-3-642-31487-2}, language = {English}, pages = {273-287}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, title = {Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research}, url = {http://dx.doi.org/10.1007/978-3-642-31488-9_22}, volume = 7377, year = 2012 } @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{mitzlaff2011community, 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.}, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Analysis of Social Media and Ubiquitous Data}, doi = {10.1007/978-3-642-23599-3_5}, editor = {Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin}, interhash = {1ef065a81ed836dfd31fcc4cd4da133b}, intrahash = {6f0d819fd09357e11ef074c242f824a6}, isbn = {978-3-642-23598-6}, pages = {79-98}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, title = {Community Assessment Using Evidence Networks}, url = {http://dx.doi.org/10.1007/978-3-642-23599-3_5}, volume = 6904, year = 2011 } @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 } @unpublished{orca15106, abstract = {This thesis is centred on the analysis of how the different groups of specialist experts that make up theoretical physics at large communicate and transmit knowledge between themselves. The analysis is carried out using two sociological frameworks: the Studies in Expertise and Experience (SEE) approach Collins and Evans, and mechanisms of sociological and institutional trust in the general sociology of science literature. I argue that the communication process is carried out in two ways: through interactional expertise that is based on deep comprehension when the interaction is between micro-cultures that are sociologically closely connected, and through lower forms of knowledge relying on trust for the micro-cultures that are sociologically far apart. Because the SEE framework is strongly based on the transmission of tacit knowledge, an analysis of the importance of tacit knowledge in theoretical physics is carried out to support the SEE analysis, and specific types of tacit knowledge are closely examined to understand how they shape theoretical physics practice. I argue that `physical intuition', one of the guiding principles of all theoretical activity, is in fact a type of tacit knowledge -somatic tacit knowledge- that is well known within social studies of science. The end result is a description of physics that highlights the importance of sociological mechanisms that hold the discipline together, and that permit knowledge to flow from the empirical to the theoretical poles of physics practice. The thesis is supported by unstructured interview material and by the author's prolonged interaction within theoretical physics professional circles }, author = {Galindo, Luis Reyes}, interhash = {b0bbac11cf3779f2d1728f3b21e6fa3c}, intrahash = {d80b5b720202b2353c0073c8994e7ad4}, school = {Cardiff University}, title = {The sociology of theoretical physics}, url = {http://orca.cf.ac.uk/15106/}, year = 2011 } @article{6069707, abstract = {An emerging category of devices at the edge of the Internet are consumer-centric mobile sensing and computing devices, such as smartphones, music players, and in-vehicle sensors. These devices will fuel the evolution of the Internet of Things as they feed sensor data to the Internet at a societal scale. In this article, we examine a category of applications that we term mobile crowdsensing, where individuals with sensing and computing devices collectively share data and extract information to measure and map phenomena of common interest. We present a brief overview of existing mobile crowdsensing applications, explain their unique characteristics, illustrate various research challenges, and discuss possible solutions. Finally, we argue the need for a unified architecture and envision the requirements it must satisfy.}, author = {Ganti, R.K. and Ye, Fan and Lei, Hui}, doi = {10.1109/MCOM.2011.6069707}, interhash = {8e5a7301965e4703f5caaf45f7a823d4}, intrahash = {44321e103e910e997453ffcb9877ac73}, issn = {0163-6804}, journal = {Communications Magazine, IEEE}, number = 11, pages = {32-39}, title = {Mobile crowdsensing: current state and future challenges}, url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6069707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6069707}, volume = 49, year = 2011 } @book{mitchell2010machine, address = {New York, NY [u.a.}, author = {Mitchell, Tom M.}, interhash = {8be657b11d4324941ba419c176c0229a}, intrahash = {adfebd1b18f04021ba0edd69ccaa3d96}, isbn = {0071154671 9780071154673}, publisher = {McGraw-Hill}, refid = {846511832}, title = {Machine learning}, url = {http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077}, year = 2010 } @article{gyongyi2004combating, author = {Gyöngyi, Zoltán and Garcia molina, Hector and Pedersen, Jan}, interhash = {428bfe5366151d07a234864481364e60}, intrahash = {cb480eab1c421d316fb8cb83f9688af3}, pages = {576--587}, title = {Combating web spam with trustrank}, url = {http://citeseer.uark.edu:8080/citeseerx/viewdoc/summary?doi=10.1.1.122.8129}, year = 2004 } @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 } @article{Fuchs2010379, abstract = {Subspace representations that preserve essential information of high-dimensional data may be advantageous for many reasons such as improved interpretability, overfitting avoidance, acceleration of machine learning techniques. In this article, we describe a new subspace representation of time series which we call polynomial shape space representation. This representation consists of optimal (in a least-squares sense) estimators of trend aspects of a time series such as average, slope, curve, change of curve, etc. The shape space representation of time series allows for a definition of a novel similarity measure for time series which we call shape space distance measure. Depending on the application, time series segmentation techniques can be applied to obtain a piecewise shape space representation of the time series in subsequent segments. In this article, we investigate the properties of the polynomial shape space representation and the shape space distance measure by means of some benchmark time series and discuss possible application scenarios in the field of temporal data mining.}, author = {Fuchs, Erich and Gruber, Thiemo and Pree, Helmuth and Sick, Bernhard}, doi = {10.1016/j.neucom.2010.03.022}, interhash = {88c499ac1dc9e9708e70187967494219}, intrahash = {fdf6865c1bece3f77cc3e29365a2c6b3}, issn = {0925-2312}, journal = {Neurocomputing}, note = {Artificial Brains}, number = {1–3}, pages = {379 - 393}, title = {Temporal data mining using shape space representations of time series}, url = {http://www.sciencedirect.com/science/article/pii/S0925231210002237}, volume = 74, year = 2010 } @incollection{ABP:11, author = {Atzmueller, Martin and Beer, Stephanie and Puppe, Frank}, booktitle = {Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources}, editor = {Brüggemann, Stefan and d’Amato, Claudia}, interhash = {9c0d3f10e985d8654d8a2eae39121ef2}, intrahash = {781410de8780f9033aae08162cbdf073}, pages = {149-167}, publisher = {IGI Global}, title = {{Data Mining, Validation and Collaborative Knowledge Capture}}, year = 2012 } @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 } @article{Atzmueller:12, author = {Atzmueller, Martin}, interhash = {ce21e72d189207dbee58420af81efca8}, intrahash = {a66dc503e2f90d0a484e0dbef5febcd3}, journal = {Informatik Spektrum}, number = 2, pages = {132-135}, title = {Mining Social Media}, volume = 35, year = 2012 } @inproceedings{Atzmueller:12b, address = {New York, NY, USA}, author = {Atzmueller, Martin}, booktitle = {Proc. 3rd International Workshop on Modeling Social Media (MSM 2012), Hypertext 2012}, interhash = {59cc9a3c8221ebd802aa85acaba4506f}, intrahash = {52600def4f1f0d36b86ed4fbd15e353a}, publisher = {ACM Press}, title = {{Onto Collective Intelligence in Social Media: Exemplary Applications and Perspectives}}, year = 2012 } @incollection{LA:12, address = {Heidelberg, Germany}, alteditor = {Editor}, author = {Lemmerich, Florian and Atzmueller, Martin}, booktitle = {{Modeling and Mining Ubiquitous Social Media}}, interhash = {ae9dc5bfe7f42f1e9ca59aadda4bfd9e}, intrahash = {8435f029bf0e32340e2cf44d0eeb65e7}, publisher = {Springer Verlag}, series = {LNAI}, title = {{Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media}}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/lemmerich-explorative-pattern-mining-socia-media-lnai-2012.pdf}, volume = 7472, year = 2012 } @proceedings{CAH:12, address = {New York, NY, USA}, editor = {Chin, Alvin and Atzmueller, Martin and Helic, Denis}, interhash = {8c21f6c9eb9d4658ca2374f12a63e950}, intrahash = {338ca2515a0f6cd77996d1bbf54c7f4d}, publisher = {ACM Press}, title = {{Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media}}, year = 2012 } @inproceedings{AL:12a, address = {Heidelberg, Germany}, author = {Atzmueller, Martin and Lemmerich, Florian}, booktitle = {Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. accepted}, interhash = {6f00bb468dbc49b2adf426302bcf39f6}, intrahash = {e2aac1cdeabeeb4568e2ef4ffe9464d2}, publisher = {Springer Verlag}, title = {{VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics}}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-vikamine2-ecml-pkdd-2012.pdf}, year = 2012 } @article{Atzmueller:12c, author = {Atzmueller, Martin}, interhash = {0b20c1d53d5df05326d594726273c2fb}, intrahash = {7b616e64994893a2aad95b5ad95db662}, journal = {WIREs: Data Mining and Knowledge Discovery}, title = {{Mining Social Media: Key Players, Sentiments, and Communities}}, volume = {In Press}, year = 2012 } @inproceedings{landia2012extending, abstract = {Real-world tagging datasets have a large proportion of new/ untagged documents. Few approaches for recommending tags to a user for a document address this new item problem, concentrating instead on artificially created post-core datasets where it is guaranteed that the user as well as the document of each test post is known to the system and already has some tags assigned to it. In order to recommend tags for new documents, approaches are required which model documents not only based on the tags assigned to them in the past (if any), but also the content. In this paper we present a novel adaptation to the widely recognised FolkRank tag recommendation algorithm by including content data. We adapt the FolkRank graph to use word nodes instead of document nodes, enabling it to recommend tags for new documents based on their textual content. Our adaptations make FolkRank applicable to post-core 1 ie. the full real-world tagging datasets and address the new item problem in tag recommendation. For comparison, we also apply and evaluate the same methodology of including content on a simpler tag recommendation algorithm. This results in a less expensive recommender which suggests a combination of user related and document content related tags.Including content data into FolkRank shows an improvement over plain FolkRank on full tagging datasets. However, we also observe that our simpler content-aware tag recommender outperforms FolkRank with content data. Our results suggest that an optimisation of the weighting method of FolkRank is required to achieve better results.}, acmid = {2365936}, address = {New York, NY, USA}, author = {Landia, Nikolas and Anand, Sarabjot Singh and Hotho, Andreas and Jäschke, Robert and Doerfel, Stephan and Mitzlaff, Folke}, booktitle = {Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web}, doi = {10.1145/2365934.2365936}, interhash = {7400e35f8d412d15722fe3399aba14a3}, intrahash = {200a05b24a08dd33e377838ae5bdcf71}, isbn = {978-1-4503-1638-5}, location = {Dublin, Ireland}, numpages = {8}, pages = {1--8}, publisher = {ACM}, series = {RSWeb '12}, title = {Extending FolkRank with content data}, url = {http://doi.acm.org/10.1145/2365934.2365936}, year = 2012 } @book{ACHH:12, address = {Heidelberg, Germany}, editor = {Atzmueller, Martin and Chin, Alvin and Helic, Denis and Hotho, Andreas}, interhash = {ebf8e8b66c6c0723092e11e40998d61f}, intrahash = {a0e5d144b39199fa4acb6319f29e7a15}, publisher = {Springer Verlag}, series = {Lecture Notes in Computer Science}, title = {Modeling and Mining Ubiquitous Social Media}, url = {http://www.springer.com/computer/ai/book/978-3-642-33683-6}, volume = 7472, year = 2012 } @inproceedings{SNKA:12, address = {Bristol, UK}, author = {Seipel, Dietmar and Neubeck, Philipp and Köhler, Stefan and Atzmueller, Martin}, booktitle = {Proc. ECML/PKDD Workshop on New Frontiers in Mining Complex Patterns}, interhash = {6ddaf3fd7606e39482a97cbce7a01892}, intrahash = {e80737788c869221f272dd9af03acecf}, title = {{Mining Complex Event Patterns in Computer Networks}}, year = 2012 } @book{AH:12, address = {Bristol, UK}, editor = {Atzmueller, Martin and Hotho, Andreas}, interhash = {ad11fdb5a32814dc9c75b4483dccd6a7}, intrahash = {5304ffe0848eccd3938b50c811d2556d}, publisher = {Workshop Notes}, title = {{Proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012)}}, url = {http://www.kde.cs.uni-kassel.de/ws/muse2012/proceedings.pdf}, year = 2012 }