@incollection{bloehdorn2006learning,
  abstract = {Recent work has shown improvements in text clustering and classification tasks by integrating conceptual features extracted from ontologies. In this paper we present text mining experiments in the medical domain in which the ontological structures used are acquired automatically in an unsupervised learning process from the text corpus in question. We compare results obtained using the automatically learned ontologies with those obtained using manually engineered ones. Our results show that both types of ontologies improve results on text clustering and classification tasks, whereby the automatically acquired ontologies yield a improvement competitive with the manually engineered ones.
ER  -},
  author = {Bloehdorn, Stephan and Cimiano, Philipp and Hotho, Andreas},
  booktitle = {From Data and Information Analysis to Knowledge Engineering},
  doi = {http://dx.doi.org/10.1007/3-540-31314-1_40},
  interhash = {cf1af505b638677f00b3d3d7a5903199},
  intrahash = {bc1d40cf4fd64780ecf712b1e40f31de},
  isbn = {978-3-540-31313-7},
  pages = {334--341},
  publisher = {Springer Berlin Heidelberg},
  title = {Learning Ontologies to Improve Text Clustering and Classification},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/2006-03-gfkl05-bloehdorn-etal-learning-ontologies.pdf},
  year = 2006
}

@incollection{bloehdorn2006boosting,
  author = {Bloehdorn, Stephan and Hotho, Andreas},
  booktitle = {Advances in Web Mining and Web Usage Analysis},
  citeulike-article-id = {910161},
  doi = {10.1007/11899402_10},
  interhash = {9351de43861fe23833c5d074059f310a},
  intrahash = {e297ea25cc01678c35501a44115aea8d},
  isbn = {978-3-540-47127-1},
  issn = {0302-9743},
  pages = {149--166},
  priority = {2},
  publisher = {Springer},
  series = {LNCS},
  title = {Boosting for Text Classification with Semantic Features},
  url = {http://dx.doi.org/10.1007/11899402_10},
  vgwort = {32},
  volume = 3932,
  year = 2006
}

@inproceedings{bloehdorn2004icdm,
  author = {Bloehdorn, Stephan and Hotho, Andreas},
  booktitle = {Proceedings of the Fourth IEEE International Conference on Data Mining},
  interhash = {f18089d50fdc9c9e38c4fc1e350bdd4e},
  intrahash = {7df6357c79445d811f4a9223e688da14},
  month = NOV,
  pages = {331-334},
  publisher = {IEEE Computer Society Press},
  title = {Text Classification by Boosting Weak Learners based on Terms and Concepts},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/icdm04boosting.pdf},
  year = 2004
}

@inproceedings{bloehdorn04msw,
  author = {Bloehdorn, Stephan and Hotho, Andreas},
  booktitle = {Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  interhash = {9b4b685dda669fc66659f810ceb97890},
  intrahash = {584e82bad6eb767636ce3ddd8f1ae233},
  month = AUG,
  pages = {70-87},
  title = {Boosting for Text Classification with Semantic Features},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/msw04bloehdorn.pdf},
  year = 2004
}

@inproceedings{bloehdorn04Boosting,
  author = {Bloehdorn, Stephan and Hotho, Andreas},
  booktitle = {Proceedings of the Workshop on Text-based Information Retrieval (TIR-04) at the 27th German Conference on Artificial Intelligence},
  interhash = {34e79ac08abb52395ef1c70f03488a8d},
  intrahash = {b4dd28d4b393a4d12650fa246176883a},
  month = SEP,
  title = { Boosting for Text Classification with Semantic Features (reprint)},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/tir04final.pdf},
  year = 2004
}