@inproceedings{benz2010semantics,
  address = {Raleigh, NC, USA},
  author = {Benz, Dominik and Hotho, Andreas and Stützer, Stefan and Stumme, Gerd},
  booktitle = {Proceedings of the 2nd Web Science Conference (WebSci10)},
  file = {benz2010semantics.pdf:benz2010semantics.pdf:PDF},
  interhash = {d4a2f14bb27ce220ba43f651e42aeddc},
  intrahash = {16c77e486fb8bc527eb7734b153932ab},
  title = {Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010semantics.pdf},
  year = 2010
}

@inproceedings{bade2008evaluation,
  abstract = {Several learning tasks comprise hierarchies. Comparison with a "goldstandard" is often performed to evaluate the quality of a learned hierarchy. We assembled various similarity metrics that have been proposed in different disciplines and compared them in a unified interdisciplinary framework for hierarchical evaluation which is based on the distinction of three fundamental dimensions. Identifying deficiencies for measuring structural similarity, we suggest three new measures for this purpose, either extending existing ones or based on new ideas. Experiments with an artificial dataset were performed to compare the different measures. As shown by our results, the measures vary greatly in their properties.},
  address = {Berlin-Heidelberg},
  author = {Bade, Korinna and Benz, Dominik},
  booktitle = {Proceedings of the 32nd Annual Conference of the German Classification Society - Advances in Data Analysis, Data Handling and Business Intelligence (GfKl 2008)},
  file = {bade2008evaluation.pdf:bade2008evaluation.pdf:PDF},
  groups = {public},
  interhash = {8bb09e3197d01f7c23481c2cd68533af},
  intrahash = {ec033805bc90ab87c99860e29f0d00dd},
  note = {in press},
  publisher = {Springer},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  title = {Evaluation Strategies for Learning Algorithms of Hierarchical Structures},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/bade2008evaluation.pdf},
  username = {dbenz},
  year = 2008
}

@inproceedings{benz2007position,
  abstract = {The emergence of collaborative tagging systems with their underlying flat and uncontrolled resource organization paradigm has led to a large number of research activities focussing on a formal description and analysis of the resulting “folksonomies??. An interesting outcome is that the characteristic qualities of these systems seem to be inverse to more traditional knowledge structuring approaches like taxonomies or ontologies: The latter provide rich and precise semantics, but suffer - amongst others - from a knowledge acquisition bottleneck. An important step towards exploiting the possible synergies by bridging the gap between both paradigms is the automatic extraction of relations between tags in a folksonomy. This position paper presents preliminary results of ongoing work to induce hierarchical relationships among tags by analyzing the aggregated data of collaborative tagging systems as a basis for an ontology learning procedure.},
  author = {Benz, Dominik and Hotho, Andreas},
  booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
  editor = {Hinneburg, Alexander},
  file = {benz2007position.pdf:benz2007position.pdf:PDF},
  groups = {public},
  interhash = {ff7de5717f771dabd764675279ff3adf},
  intrahash = {72bff5ebe5dfb5023f62ba9b94e6ed01},
  isbn = {978-3-86010-907-6},
  month = sep,
  note = {http://lwa07.informatik.uni-halle.de/kdml07/kdml07.htm},
  pages = {109--112},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  title = {Position Paper: Ontology Learning from Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007position.pdf},
  username = {dbenz},
  year = 2007
}

@inproceedings{benz2008analyzing,
  abstract = {The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.},
  author = {Benz, Dominik and Grobelnik, Marko and Hotho, Andreas and Jäschke, Robert and Mladenic, Dunja and Servedio, Vito D. P. and Sizov, Sergej and Szomszor, Martin},
  booktitle = {Proceedings of the Dagstuhl Seminar on Social Web Communities},
  editor = {Alani, Harith and Staab, Steffen and Stumme, Gerd},
  file = {benz2008analyzing.pdf:benz2008analyzing.pdf:PDF},
  groups = {public},
  interhash = {d738d9d90c1c466ee0a73ac0cc3dc4c1},
  intrahash = {6918e578527dec96abb5718f105d9f78},
  issn = {1862-4405},
  number = 08391,
  title = {Analyzing Tag Semantics Across Collaborative Tagging Systems},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2008analyzing.pdf},
  username = {dbenz},
  year = 2008
}

@inproceedings{benz2009characterizing,
  address = {Bled, Slovenia},
  author = {Benz, Dominik and Krause, Beate and Kumar, G. Praveen and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009)},
  file = {benz2009characterizing.pdf:benz2009characterizing.pdf:PDF},
  groups = {public},
  interhash = {de5e58b26200e44112d9791f39e7523d},
  intrahash = {b697a98a7340585594455ee2e81d238a},
  month = {September},
  title = {Characterizing Semantic Relatedness of Search Query Terms},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009characterizing.pdf},
  username = {dbenz},
  year = 2009
}