@inproceedings{conf/iis/StaabH03,
  author = {Staab, Steffen and Hotho, Andreas},
  booktitle = {Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM'03 Conference held in Zakopane},
  interhash = {dcb3c9710a44a43f9d8b17c5fc2b0f8c},
  intrahash = {d773061117a913428968cc99c6e1ec0f},
  isbn = {3-540-00843-8},
  pages = {451-452},
  title = {Ontology-based Text Document Clustering.},
  url = {http://dblp.uni-trier.de/db/conf/iis/iis2003.html#StaabH03},
  year = 2003
}

@inproceedings{schmitz2006content,
  abstract = {Recently, research projects such as PADLR and SWAP
  have developed tools like Edutella or Bibster, which are targeted at
  establishing peer-to-peer knowledge management (P2PKM) systems.  In
  such a system, it is necessary to obtain provide brief semantic
  descriptions of peers, so that routing algorithms or matchmaking
  processes can make decisions about which communities peers should
  belong to, or to which peers a given query should be forwarded.

  This paper provides a graph clustering technique on
  knowledge bases for that purpose. Using this clustering, we can show
  that our strategy requires up to 58% fewer queries than the
  baselines to yield full recall in a bibliographic P2PKM scenario.},
  address = {Heidelberg},
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {The Semantic Web: Research and Applications},
  editor = {Sure, York and Domingue, John},
  interhash = {d2ddbb8f90cd271dc18670e4c940ccfb},
  intrahash = {1788c88e04112a4491f19dfffb8dc39e},
  pages = {530-544},
  publisher = {Springer},
  series = {LNAI},
  title = {Content Aggregation on Knowledge Bases using Graph Clustering},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf},
  volume = 4011,
  year = 2006
}

@inproceedings{hotho-ijcaiws2001,
  author = {Hotho, Andreas and Maedche, Alexander and Staab, Steffen},
  booktitle = {Proc. of the Workshop ``Text Learning: Beyond                  Supervision'' at IJCAI 2001. Seattle, WA, USA,                  August 6, 2001},
  interhash = {cce452c6e28cb3cfb99b3416457f1b24},
  intrahash = {15a8cfc9a49b70812a55c76e597db7a5},
  publihser = {Springer},
  title = {Ontology-based Text Clustering},
  year = 2001
}

@article{hotho02ki,
  author = {Hotho, Andreas and Maedche, Alexander and Staab, Steffen},
  interhash = {2b242ffbfb47a6b3a01584703ee31b9e},
  intrahash = {b54e211028a75303d03dfdcce479428e},
  journal = {K{\"{u}}nstliche Intelligenz (KI)},
  number = 4,
  pages = {48-54},
  title = {Text Clustering Based on Good Aggregations},
  url = {http://www.aifb.uni-karlsruhe.de/WBS/aho/pub/Ontology_based_Text_Document_Clustering_2002.pdf},
  volume = 16,
  year = 2002
}

@techreport{hothoetal2003,
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  institution = {Institute AIFB, Universität Karlsruhe},
  interhash = {0bc7c3fc1273355f45c8970a7ea58f97},
  intrahash = {424a43b2ec8c865c1d66ca23440b1ac7},
  note = {36 pages},
  title = {Text Clustering Based on Background Knowledge},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/hotho_etal_techreport425.pdf},
  year = 2003
}

@inproceedings{hotho_sigir03,
  address = {Toronto, Canada},
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  booktitle = {Proc. of the SIGIR 2003 Semantic Web Workshop},
  interhash = {c2a9a89ce20cef90a1e78d34dc2c2afe},
  intrahash = {b03e58ecb17c09f8c09d1fd93fb24f90},
  title = {WordNet improves text document clustering},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/hothoetal_sigir_ws_sem_web.pdf},
  year = 2003
}

@inproceedings{hotho_icdm03,
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  booktitle = {Proc. of the ICDM 03, The 2003 IEEE International Conference on Data Mining},
  interhash = {b56c36d6d9c9ca9e6bd236a0f92415a5},
  intrahash = {8ce56ab228d021b2d7a37bc302bb9a0a},
  pages = {541-544},
  title = {Ontologies Improve Text Document Clustering},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/hothoa_icdm_poster03.pdf},
  year = 2003
}