@inproceedings{bozsak2002towards,
  author = {Bozsak, E. and Ehrig, Marc and Handschuh, Siegfried and Hotho, Andreas and Maedche, Alexander and Motik, Boris and Oberle, Daniel and Schmitz, Christoph and Staab, Steffen and Stojanovic, Ljiljana and Stojanovic, Nenad and Studer, Rudi and Stumme, Gerd and Sure, York and Tane, Julien and Volz, Raphael and Zacharias, Valentin},
  booktitle = {Proceedings of the Third International Conference on E-Commerce and Web Technologies (EC-Web 2002), Aix-en-Provence, France},
  editor = {Bauknecht, Kurt and Tjoa, A. Min and Quirchmayr, Gerald},
  interhash = {940750309ac472ea48a712e16b5d902a},
  intrahash = {d0aa1d2d01e378046e1693babc026836},
  pages = {304-313},
  publisher = {Springer},
  series = {LNCS},
  title = {KAON - Towards a large scale Semantic Web},
  url = {http://www.aifb.uni-karlsruhe.de/WBS/ysu/publications/2002_ecweb_kaon.pdf},
  volume = 2455,
  year = 2002
}

@inproceedings{agarwal03semantic,
  abstract = {The paper describes a set of approaches for representing and
accessing information within a semantically structured information
portal, while offering the possibility to integrate own
information. It discusses research performed within the project
`Semantic Methods and Tools for Information Portals (SemIPort)'.
In particular, it focuses on  (1) the development of scalable
storing, processing and querying methods for semantic data, (2)
visualization and browsing of complex data inventories, (3)
personalization and agent-based interaction, and (4) the
enhancement of web mining approaches for use within a
semantics-based portal.},
  address = {Bonn},
  author = {Agarwal, Sudhir and Fankhauser, Peter and Gonzalez-Ollala, Jorge and Hartmann, Jens and Hollfelder, Silvia and Jameson, Anthony and Klink, Stefan and Lehti, Patrick and Ley, Michael and Rabbidge, Emma and Schwarzkopf, Eric and Shrestha, Nitesh and Stojanovic, Nenad and Studer, Rudi and Stumme, Gerd and Walter, Bernd},
  booktitle = {INFORMATIK 2003 -- Innovative Informatikanwendungen (Band 1)},
  comment = {alpha},
  editor = {Dittrich, K. and König, W. and Oberweis, A. and Rannenberg, K. and Wahlster, W.},
  interhash = {54f275f02db30eafdab2f178e50fd7dc},
  intrahash = {8f2983e0f20c26ff98577059343f2cd4},
  pages = {116-131},
  publisher = {Gesellschaft für Informatik},
  series = {LNI},
  title = {Semantic Methods and Tools for Information Portals},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/agarwal2003semantic.pdf},
  volume = 34,
  year = 2003
}

@techreport{hotho03textclustering,
  abstract = {Text document clustering plays an important role in providing intuitive
navigation and browsing mechanisms by organizing large amounts of information
into a small number of meaningful clusters. Standard partitional or agglomerative
clustering methods efficiently compute results to this end.
However, the bag of words representation used for these clustering methods is often
unsatisfactory as it ignores relationships between important terms that do not
co-occur literally. Also, it is mostly left to the user to find out why a particular partitioning
has been achieved, because it is only specified extensionally. In order to
deal with the two problems, we integrate background knowledge into the process of
clustering text documents.
First, we preprocess the texts, enriching their representations by background knowledge
provided in a core ontology — in our application Wordnet. Then, we cluster
the documents by a partitional algorithm. Our experimental evaluation on Reuters
newsfeeds compares clustering results with pre-categorizations of news. In the experiments,
improvements of results by background knowledge compared to the baseline
can be shown for many interesting tasks.
Second, the clustering partitions the large number of documents to a relatively small
number of clusters, which may then be analyzed by conceptual clustering. In our approach,
we applied Formal Concept Analysis. Conceptual clustering techniques are
known to be too slow for directly clustering several hundreds of documents, but they
give an intensional account of cluster results. They allow for a concise description
of commonalities and distinctions of different clusters. With background knowledge
they even find abstractions like “food” (vs. specializations like “beef” or “corn”).
Thus, in our approach, partitional clustering reduces first the size of the problem
such that it becomes tractable for conceptual clustering, which then facilitates the
understanding of the results.},
  author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd},
  comment = {alpha},
  institution = {University of Karlsruhe, Institute AIFB},
  interhash = {0bc7c3fc1273355f45c8970a7ea58f97},
  intrahash = {61d58db419af0dbc3681432588219c3d},
  title = {Text Clustering Based on Background Knowledge},
  type = {Technical Report },
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003text.pdf},
  volume = 425,
  year = 2003
}

@incollection{stumme02using,
  address = {Heidelberg},
  author = {Stumme, G.},
  booktitle = {Wissensmanagement mit Referenzmodellen -- Konzepte für die Anwendungssystem- und Organisationsgestaltung},
  comment = {alpha},
  editor = {Becker, J. and Knackstedt, R.},
  interhash = {89b56b4b45d3c9256355080ce94045e0},
  intrahash = {8cd4f719765abd1c46d28f200327d935},
  pages = {163-174},
  publisher = {Physica},
  title = {Using Ontologies and Formal Concept Analysis for Organizing Business Knowledge},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/REFMOD01.ps},
  year = 2002
}

@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
}

@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{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
}