@inproceedings{hotho03explaining,
	title = {Explaining Text Clustering Results Using Semantic Structures},
	author = {Andreas Hotho and Steffen Staab and Gerd Stumme},
	booktitle = {Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings},
	editor = {Nada Lavrac and Dragan Gamberger and Hendrik Blockeel and Ljupco Todorovski},
	pages = {217-228},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://springerlink.metapress.com/link.asp?id=ykqbr81p0xmedm37},
	volume = {2838},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/25fb63eb730e4011aff3dc71a4cc0a65b/msn},
	bibsource = {DBLP, http://dblp.uni-trier.de}, isbn_ = {3-540-20085-1}, language = {english},
	keywords = {cites.gradu research.mining.text research.nlp }
}

@inproceedings{hotho_pkdd03,
	title = {Explaining Text Clustering Results using Semantic Structures},
	author = {A. Hotho and S. Staab and G. Stumme},
	booktitle = {Proc. of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD},
	pages = {217-228},
	series = {LNCS},
	volume = {2838},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2c1bb26aa5d4801542f832ffab70c82e5/hotho},
	file = {},
	keywords = {2003 SumSchool06 clustering fca myown text visualization }
}

@inproceedings{HothoEtAl:PKDD03,
	title = {Explaining Text Clustering Results Using Semantic Structures},
	address = {Cavtat-Dubrovnik, Croatia},
	author = {Andreas Hotho and Steffen Staab and Gerd Stumme},
	booktitle = {Proc. of ECML/PKDD 2003},
	month = {Sept.},
	pages = {217--228},
	publisher = {Springer Verlag},
	series = {LNAI 2838},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2efa2485e3d65313a402b65254572214b/schaal},
	priority = {2}, citeulike-article-id = {1438800},
	keywords = {knowledge-mining ontology ontology-mining }
}

@inproceedings{hotho03explaining,
	title = {Explaining Text Clustering Results using  Semantic  Structures},
	address = {Heidelberg},
	author = {Andreas Hotho and Steffen Staab and Gerd Stumme},
	booktitle = {Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases},
	editor = {Nada Lavra\v{c} and Dragan Gamberger and Hendrik BlockeelLjupco Todorovski},
	pages = {217-228},
	publisher = {Springer},
	series = {LNAI},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003explaining.pdf},
	volume = {2838},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/253a943b6be4b34cf4e5329d0b58e99f6/jaeschke},
	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.},
	comment = {alpha},
	keywords = {clustering concept fca formal iccs_example ontology text trias_example }
}

@inproceedings{hotho03explaining,
	title = {Explaining Text Clustering Results using  Semantic  Structures},
	address = {Heidelberg},
	author = {Andreas Hotho and Steffen Staab and Gerd Stumme},
	booktitle = {Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases},
	editor = {Nada Lavra\v c and Dragan Gamberger and Hendrik BlockeelLjupco Todorovski},
	pages = {217-228},
	publisher = {Springer},
	series = {LNAI},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003explaining.pdf},
	volume = {2838},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2031e878767fcacab5ba54500eea8e33c/grahl},
	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.},
	comment = {alpha},
	keywords = {analysis clustering concept fca formal ontology semantic text }
}

@inproceedings{hotho03explaining,
	title = {Explaining Text Clustering Results using  Semantic  Structures},
	address = {Heidelberg},
	author = {Andreas Hotho and Steffen Staab and Gerd Stumme},
	booktitle = {Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases},
	editor = {Nada Lavra\v{c} and Dragan Gamberger and Hendrik BlockeelLjupco Todorovski},
	pages = {217-228},
	publisher = {Springer},
	series = {LNAI},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003explaining.pdf},
	volume = {2838},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/253a943b6be4b34cf4e5329d0b58e99f6/stumme},
	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.},
	comment = {alpha},
	keywords = {2003 analysis clustering concept fca formal myown ontologies semantic semantics text }
}

@inproceedings{hotho-pkdd03,
	title = {Explaining Text Clustering Results using Semantic Structures},
	author = {Andreas Hotho and Steffen Staab and Gerd Stumme},
	booktitle = {Principles of Data Mining and Knowledge Discovery, 7th European Conference, PKDD 2003, Dubrovnik, Croatia, September 22-26, 2003},
	month = {SEP},
	pages = {217-228},
	publisher = {Springer},
	series = {LNCS},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/23d8594a1f35764747642d771e878aa71/sb3000},
	keywords = {imported }
}

@inproceedings{conf/pkdd/HothoSS03,
	title = {Explaining Text Clustering Results Using Semantic Structures.},
	author = {Andreas Hotho and Steffen Staab and Gerd Stumme},
	booktitle = {PKDD},
	crossref = {conf/pkdd/2003},
	editor = {Nada Lavrac and Dragan Gamberger and Hendrik Blockeel and Ljupco Todorovski},
	pages = {217-228},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2003.html#HothoSS03},
	volume = {2838},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/25c468fdcab3760edc2b80b50241983de/dblp},
	description = {dblp},
	ee = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2838&spage=217}, isbn = {3-540-20085-1}, date = {2003-11-24},
	keywords = {dblp }
}