@inproceedings{gonzalez02semantic,
  address = {Helsinki},
  author = {Gonzalez-Olalla, J. and Stumme, G.},
  booktitle = {Semantic Web Mining. Proc. of the Semantic Web Mining Workshop of the 13th Europ. Conf.},
  comment = {alpha},
  editor = {Berendt, B. and Hotho, A. and Stumme, G.},
  interhash = {f66eaa20bfcd4b4b57a8ff851a4a74aa},
  intrahash = {c9fdc0e65bbd2a49ee0b1396b068a76d},
  month = {August 19,},
  pages = 90,
  title = {Semantic Methods and Tools for Information Portals - The {S}em{IP}ort Project (Project Description)},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/gonzalez2002semantic.pdf},
  year = 2002
}

@inproceedings{hartmann02semanticweb,
  address = {Oldenburg},
  author = {Hartmann, J. and Hotho, A. and Stumme, G.},
  booktitle = {Proc. Arbeitskreistreffen Knowledge Discovery},
  comment = {alpha},
  interhash = {c07545febc9e7b32803bf33547ec9004},
  intrahash = {a5f1a8b42409b96271bc5c671deceea9},
  month = {September},
  title = {Semantic Web Mining for Building Information Portals (Position Paper)},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/hartmann2002semanticweb.pdf},
  year = 2002
}

@proceedings{alani2006proceedings,
  editor = {Alani, Harith and Hoser, Bettina and Schmitz, Christoph and Stumme, Gerd},
  interhash = {e991143409a8f4acb9eabfe08a38e387},
  intrahash = {786a452a14c5189d82dc56f16cc2a266},
  title = {Proceedings of the 2nd Workshop on Semantic Network Analysis},
  url = {http://www.kde.cs.uni-kassel.de/ws/sna2006/},
  year = 2006
}

@inproceedings{schmitz2006mining,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. These systems provide currently relatively few
structure. We discuss in this paper, how association rule mining
can be adopted to analyze and structure folksonomies, and how the results can be used
for ontology learning and supporting emergent semantics. We
demonstrate our approach on a large scale dataset stemming from an
online system.},
  address = {Heidelberg},
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
  editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.},
  interhash = {20650d852ca3b82523fcd8b63e7c12d7},
  intrahash = {11b2a59a568d246d7f36cb68169a464a},
  month = {July},
  pages = {261--270},
  publisher = {Springer},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  title = {Mining Association Rules in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
  year = 2006
}

@proceedings{stumme05semanticnetworkanalysis,
  address = {Aachen},
  editor = {Stumme, Gerd and Hoser, Bettina and Schmitz, Christoph and Alani, Harith},
  interhash = {6316cb226778a6a6f156821f975b2ba3},
  intrahash = {c44763991d44182c53606a2c93054f26},
  issn = {1613-0073},
  publisher = {CEUR Proceedings},
  title = {Proceedings of the First Workshop on Semantic Network Analysis },
  url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/},
  year = 2005
}

@inproceedings{berendt05semantic,
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space},
  editor = {Svatek, Vojtech and Snasel, Vaclav},
  interhash = {e4b853ff13b63a88b009610890b89348},
  intrahash = {f8826ba2790eeb857dd4becb31a08225},
  isbn = {80-248-0864-1},
  pages = {1-16},
  publisher = {Technical University of Ostrava},
  title = {Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf},
  year = 2005
}

@inproceedings{stumme01bottom,
  address = {Seattle, WA, USA},
  author = {Stumme, G. and Maedche, A.},
  booktitle = {Proc. 17th Intl. Conf. on Artificial Intelligence (IJCAI '01)},
  comment = {alpha},
  editor = {Nebel, B.},
  interhash = {2ff2aa6492ba1857d18042fa4d57111d},
  intrahash = {cd6d6c64f79d13d7cf394d3a6b3858ba},
  pages = {225-230},
  title = {{FCA}-{M}erge: Bottom-Up Merging of Ontologies.},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/IJCAI01.pdf},
  year = 2001
}

@inproceedings{stumme00towardsanorder,
  address = {Aachen},
  author = {Stumme, G. and Studer, R. and Sure, Y.},
  booktitle = {Verbundtagung Wirtschaftsinformatik 2000},
  comment = {alpha},
  editor = {Bodendorf, F. and Grauer, M.},
  interhash = {9042498686a1b2c000cd4b0007a76bf8},
  intrahash = {83cc12ae3979a3e4108e5442b7da0b4f},
  pages = {136-149},
  publisher = {Shaker},
  title = {Towards an Order-Theoretical Foundation for Maintaining and Merging Ontologies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/REFMOD00.pdf},
  year = 2000
}

@inproceedings{studer03building,
  address = {Osaka, Japan},
  author = {Studer, Rudi and Stumme, Gerd and Handschuh, Siegfried and Hotho, Andreas and Motik, B.},
  booktitle = {New Trends in Knowledge Processing -- Data Mining, Semantic Web and Computational},
  comment = {alpha},
  interhash = {67d164f4a531ddf0f84df0b5de52e80a},
  intrahash = {a0e7b52680f1876cdd9cd21f7cb2f95c},
  month = {March 10-11,},
  pages = {31-34},
  title = {Building and Using the Semantic Web},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/Sanken03.pdf},
  year = 2003
}

@inproceedings{hotho03explaining,
  abstract = {Common text clustering techniques offer rather poor capabilities
for explaining to their users why a particular result has been
achieved. They have the disadvantage that they do not relate
semantically nearby terms and that they cannot explain how
resulting clusters are related to each other.
 In this paper, we discuss a way of integrating a large thesaurus
 and the computation of lattices of resulting clusters  into common text clustering
 in order to overcome these two problems.
As its major result, our approach achieves an explanation using an
appropriate level of granularity at the concept level as well as
an appropriate size and complexity of the explaining lattice of
resulting clusters.},
  address = {Heidelberg},
  author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd},
  booktitle = {Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases},
  comment = {alpha},
  editor = {Lavra\v{c}, Nada and Gamberger, Dragan and Todorovski, Hendrik BlockeelLjupco},
  interhash = {cf66183151a5d94a0941ac6d5089ae89},
  intrahash = {53a943b6be4b34cf4e5329d0b58e99f6},
  pages = {217-228},
  publisher = {Springer},
  series = {LNAI},
  title = {Explaining Text Clustering Results using  Semantic  Structures},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003explaining.pdf},
  volume = 2838,
  year = 2003
}

@inproceedings{cattuto08-semantic,
  abstract = {Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.},
  address = {Patras, Greece},
  author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3)},
  interhash = {cc62b733f6e0402db966d6dbf1b7711f},
  intrahash = {3b0aca61b24e4343bd80390614e3066e},
  month = {July},
  title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems},
  url = {http://olp.dfki.de/olp3/},
  year = 2008
}

@book{Semantic2006Ackermann,
  address = {Heidelberg},
  editor = {Ackermann, Markus and Berendt, Bettina and Grobelnik, Marko and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and Svatek, Vojtech and van Someren, Maarten},
  interhash = {f4891d2967571b77f1276298f112158f},
  intrahash = {f8335dd42e7eec61d60bbeced71ff3be},
  isbn13 = {978-3-540-47697-9},
  issn = {0302-9743},
  publisher = {Springer},
  title = {Semantics, Web and Mining},
  url = {http://dx.doi.org/10.1007/11908678},
  year = 2006
}

@proceedings{stumme01semantic,
  address = {Freiburg},
  editor = {Stumme, G. and Hotho, A. and Berendt, B.},
  interhash = {8e0ea487e66cca158e69263d18d856f8},
  intrahash = {ee4f8a6316e6454df268067b4e47f818},
  month = {September 3rd,},
  title = {Semantic Web Mining. Workshop Proceedings.},
  url = {http://semwebmine2001.aifb.uni-karlsruhe.de/online.html},
  year = 2001
}

@inproceedings{schmitz02accessing,
  address = {Norfolk},
  author = {Schmitz, C. and Staab, S. and Studer, R. and Stumme, G. and Tane, J.},
  booktitle = {Proc. of E-Learning 2002 World Conference on E-Learning in Corporate,     Government, Healthcare and Higher Education on (E-Learning 2002)},
  editor = {Driscoll, M. and Reeves, T.C.},
  interhash = {654b9a08b2bc09cf44dfe51840371e23},
  intrahash = {d366e42880a2d2991cbfa6abc53b8fe4},
  note = {{A}warded paper},
  pages = {909-915},
  title = {Accessing Distributed Learning Repositories through a Courseware
    Watchdog},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/E-Learn02.pdf},
  volume = {AACE},
  year = 2002
}

@inproceedings{cattuto2008semantic,
  abstract = {Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks
like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Eventhough most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptionson the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity interms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures oftag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding isprovided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measuresof semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.},
  address = {Heidelberg},
  author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {The Semantic Web -- ISWC 2008, Proc.Intl. Semantic Web Conference 2008},
  editor = {Sheth, Amit P. and Staab, Steffen and Dean, Mike and Paolucci, Massimo and Maynard, Diana and Finin, Timothy W. and Thirunarayan, Krishnaprasad},
  interhash = {b44538648cfd476d6c94e30bc6626c86},
  intrahash = {27198c985b3bdb6daab0f7e961b370a9},
  pages = {615--631},
  publisher = {Springer},
  series = {LNAI},
  title = {Semantic Grounding of Tag Relatedness in Social Bookmarking Systems},
  url = {http://dx.doi.org/10.1007/978-3-540-88564-1_39},
  volume = 5318,
  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)},
  interhash = {de5e58b26200e44112d9791f39e7523d},
  intrahash = {b697a98a7340585594455ee2e81d238a},
  month = {September},
  title = {Characterizing Semantic Relatedness of Search Query Terms},
  year = 2009
}

@inproceedings{Mcdonald01testingthe,
  abstract = {Distributional information has recently been implicated as playing an important role in several aspects of language ability. Learning the meaning of a word is thought to be dependent, at least in part, on exposure to the word in its linguistic contexts of use. In two experiments, we manipulated subjects ’ contextual experience with marginally familiar and nonce words. Results showed that similarity judgements involving these words were affected by the distributional properties of the contexts in which they were read. The accrual of contextual experience was simulated in a semantic space model, by successively adding larger amounts of experience in the form of item-in-context exemplars sampled from the British National Corpus. The experiments and the simulation},
  author = {Mcdonald, Scott and Ramscar, Michael},
  booktitle = {In Proceedings of the 23rd Annual Conference of the Cognitive Science Society},
  interhash = {e52a63b9e68235aa2596fe5f4443f642},
  intrahash = {dab2fb694c41ae1145195776d857368d},
  pages = {611--6},
  title = {Testing the distributional hypothesis: The influence of context on judgements of semantic similarity},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.7535},
  year = 2001
}

@book{berendt09knowledge,
  address = {Heidelberg},
  author = {?},
  interhash = {12fa8ec01220bd1e437a945ea1972a09},
  intrahash = {d3aee79927e4d00aa1408d2a26749778},
  note = {(to appear)},
  publisher = {Springer},
  title = {Knowledge Discovery Enhanced with Semantic and Social Information},
  year = {2009 }
}

@misc{hirst97lexical,
  author = {Hirst, G. and St-Onge, D.},
  interhash = {be945221d6d8888cffe5d9ede713d15f},
  intrahash = {c7017d380511206230432d580b457426},
  text = {Hirst G., St-Onge D. 1997. Lexical Chains as representation of context
    for the detection and correction malapropisms. In C. Fellbaum, editor, WordNet:
    An electronic lexical database and some of its applications. Cambrige, MA:
    The MIT Press.},
  title = {Lexical Chains as representation of context for the detection and correction
    malapropisms},
  url = {citeseer.ist.psu.edu/hirst97lexical.html},
  year = 1997
}