@inproceedings{doerfel2014evaluating,
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  booktitle = {Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, Aachen,               Germany, September 8-10, 2014.},
  editor = {Seidl, Thomas and Hassani, Marwan and Beecks, Christian},
  interhash = {955cd7c6f7652b7c531b699464925b1f},
  intrahash = {4b2e73c82b5a84e1959ad66aaad4a235},
  pages = {18--19},
  publisher = {CEUR-WS.org},
  title = {Evaluating Assumptions about Social Tagging - {A} Study of User Behavior
               in BibSonomy},
  url = {http://ceur-ws.org/Vol-1226/paper06.pdf},
  year = 2014
}

@inproceedings{atzmueller2011facetoface,
  author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd},
  booktitle = {Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation},
  interhash = {0b17cc97fd8ae45161a926da9363c4b2},
  intrahash = {84840e0e94320b5742df381f2ec033b7},
  title = {Face-to-Face Contacts during LWA 2010 - Communities, Roles, and Key Players},
  year = 2011
}

@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
}

@inproceedings{atzmueller2011facetoface,
  author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd},
  booktitle = {Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation},
  interhash = {0b17cc97fd8ae45161a926da9363c4b2},
  intrahash = {84840e0e94320b5742df381f2ec033b7},
  title = {Face-to-Face Contacts during LWA 2010 - Communities, Roles, and Key Players},
  year = 2011
}

@book{ABHS:10,
  editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  interhash = {9815398a19b44982b6e1b406d1eea00c},
  intrahash = {060c675871a5e2173af200bd12f6f3ff},
  publisher = {Department of Electrical Engineering/Computer Science, Kassel University},
  series = {Technical report (KIS), 2010-10},
  title = {{Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivit\"at}},
  year = 2010
}

@inproceedings{kersting2010convex,
  abstract = {We present an extension of convex-hull nonnegative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization (CNMF) or Archetypal Analysis (AA). CH-NMF factorizes a non-negative data matrix V into two non-negative matrix factors V = WH such that the columns of W are convex combinations of certain data points so that they are readily interpretable to data analysts. There is, however, no free lunch: imposing convexity constraints on W typically prevents adaptation to intrinsic, low dimensional structures in the data. Alas, in cases where the data is distributed in a nonconvex manner or consists of mixtures of lower dimensional convex distributions, the cluster representatives obtained from CH-NMF will be less meaningful. In this paper, we present a hierarchical CH-NMF that automatically adapts to internal structures of a data set, hence it yields meaningful and interpretable clusters for non-convex data sets. This is also conformed by our extensive evaluation on DBLP publication records of 760,000 authors, 4,000,000 images harvested from the web, and 150,000,000 votes on World of Warcraft guilds.},
  address = {Kassel, Germany},
  author = {Kersting, Kristian and Wahabzada, Mirwaes and Thurau, Christian and Bauckhage., Christian},
  booktitle = {Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen {\&} Adaptivitaet},
  crossref = {lwa2010},
  editor = {Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  end = {2010-10-06 09:45:00},
  interhash = {9513ef5606b53314806fa4ad6507e819},
  intrahash = {5a46921f58af4fc313d8b60f38859a57},
  room = {0446},
  session = {kdml3},
  start = {2010-10-06 09:22:30},
  title = {Convex NMF on Non-Convex Massiv Data},
  track = {kdml},
  url = {http://www.kde.cs.uni-kassel.de/conf/lwa10/papers/kdml5.pdf},
  year = 2010
}

@inproceedings{gohr2010visually,
  abstract = {Tags are intensively used in social platforms to annotate resources: Tagging is a social phenomenon, because users do not only annotate to organize their resources but also to associate semantics to resources contributed by third parties. This leads often to semantic ambiguities: Popular tags are associated with very disparate meanings, even to the extend that some tags (e.g. "beautiful" or "toread") are irrelevant to the semantics of the resources they annotate. We propose a method that learns a topic model for documents under a tag and visualizes the different meanings associated with the tag. Our approach deals with the following problems. First, tag miscellany is a temporal phenomenon: tags acquire multiple semantics gradually, as users apply them to disparate documents. Hence, our method must capture and visualize the evolution of the topics in a stream of documents. Second, the meanings associated to a tag must be presented in a human-understandable way; This concerns both the choice of words and the visualization of all meanings. Our method uses AdaptivePLSA, a variation of Probabilistic Latent Semantic Analysis for streams, to learn and adapt topics on a stream of documents annotated with a specific tag. We propose a visualization technique called Topic Table to visualize document prototypes derived from topics and their evolution over time. We show by a case study how our method captures the evolution of tags selected as frequent and ambiguous, and visualizes their semantics in a comprehensible way. Additionally, we show the effectiveness by adding alien resources under a tag. Our approach indeed visualizes hints to the added documents.},
  address = {Kassel, Germany},
  author = {Gohr, André and Spiliopoulou, Myra and Hinneburg., Alexander},
  booktitle = {Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen {\&} Adaptivitaet},
  crossref = {lwa2010},
  editor = {Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  end = {2010-10-05 10:00:00},
  interhash = {e7054144bb25dfac8812c15e477d1e54},
  intrahash = {67dc1e470b31cb6984d5faafe8e64ce0},
  room = {0446},
  session = {joint1},
  start = {2010-10-05 09:30:00},
  title = {Visually summarizing the Evolution of Documents under a Social Tag},
  track = {kdml},
  url = {http://www.kde.cs.uni-kassel.de/conf/lwa10/papers/kdml27.pdf},
  year = 2010
}

@proceedings{atzmueller2010proceedings,
  editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  file = {atzmueller2010proceedings.pdf:atzmueller2010proceedings.pdf:PDF},
  interhash = {9815398a19b44982b6e1b406d1eea00c},
  intrahash = {04fa57a62108bf4bc13313caa786ecc0},
  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
}

@book{aezmueller2010lwa,
  editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  interhash = {9815398a19b44982b6e1b406d1eea00c},
  intrahash = {060c675871a5e2173af200bd12f6f3ff},
  publisher = {Department of Electrical Engineering/Computer Science, Kassel University},
  series = {Technical report (KIS), 2010-10},
  title = {{Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivit\"at}},
  year = 2010
}

@book{ABHS:10,
  editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  interhash = {9815398a19b44982b6e1b406d1eea00c},
  intrahash = {060c675871a5e2173af200bd12f6f3ff},
  publisher = {Department of Electrical Engineering/Computer Science, Kassel University},
  series = {Technical report (KIS), 2010-10},
  title = {{Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivit\"at}},
  year = 2010
}

@article{xu2009multi,
  author = {Xu, Z. and Kersting, K. and Fraunhofer, I. and Birlinghoven, S. and Tresp, V.},
  booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-09)},
  interhash = {1b68ae4a03801c2e20056e98d60cf099},
  intrahash = {9075baed334d60bfd1bae9886621d8ab},
  title = {{Multi-relational learning with gaussian processes}},
  url = {http://scholar.google.de/scholar.bib?q=info:LImDEASr58EJ:scholar.google.com/&output=citation&hl=de&ct=citation&cd=5},
  year = 2009
}

@article{pilz-named,
  author = {Pilz, A. and Paa{\ss}, G. and Augustin, G. St},
  interhash = {056d7a3a9a77c31044e996acfb23cc8c},
  intrahash = {f956b02691b503629c6742b3e61489da},
  title = {{Named Entity Resolution Using Automatically Extracted Semantic Information}},
  url = {http://scholar.google.de/scholar.bib?q=info:3tHCLbaX3_sJ:scholar.google.com/&output=citation&hl=de&ct=citation&cd=0},
  year = 2009
}

@article{markus2003cocitation,
  abstract = {Abstract  After 30 years of research, co-citation analysis has become the dominant method for the empirical study of the structures
of scientific communication. There is a considerable variety of methods and, at the same time, a lack of methodological evaluation.This paper summarizes the present state of co-citation analysis and presents several methods of clustering references. Thedatabase used is a selection of 2,114 documents in the field of organization studies from 1986-2000. The evaluative studyshows that the choice of methods has a strong impact on the results created. It also shows that the methods of cluster andfactor analysis hitherto used have only a limited value in differentiating clearly between schools of scientific research- the 'invisible colleges'.},
  author = {Gmür, Markus},
  interhash = {f8d7adc52a63ff593c04f64251c9dffa},
  intrahash = {f5540ba3281db06a31c1bf73db95be44},
  journal = {Scientometrics},
  month = {#may#},
  number = 1,
  pages = {27--57},
  title = {Co-citation analysis and the search for invisible colleges: A methodological evaluation},
  url = {http://dx.doi.org/10.1023/A:1023619503005},
  volume = 57,
  year = 2003
}

@article{bade-learning,
  author = {Bade, K. and N{\\"u}rnberger, A.},
  interhash = {62c21d6760c4c659df65391213d92f88},
  intrahash = {5da2923afd48fbd9198ece009e62b8e9},
  title = {{Learning a Metric during Hierarchical Clustering based on Constraints}},
  url = {http://scholar.google.de/scholar.bib?q=info:gZSHXg5a1dAJ:scholar.google.com/&output=citation&hl=de&ct=citation&cd=0},
  year = 2009
}

@inproceedings{jaeschke07tagKdml,
  abstract = {Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.  In this paper we present two tag recommendation algorithms: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank, an adaptation of the well-known PageRank algorithm that can cope with undirected triadic hyperedges. We evaluate and compare both algorithms on large-scale real life datasets and show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably.},
  author = {Jäschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
  booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
  editor = {Hinneburg, Alexander},
  interhash = {7e212e3bac146d406035adebff248371},
  intrahash = {bfc43dfe59f9c0935ac3364b12e6d795},
  isbn = {978-3-86010-907-6},
  month = sep,
  pages = {13-20},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  title = {Tag Recommendations in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf},
  vgwort = {20},
  year = 2007
}