]> BibSonomy publications for /bibtex/1c2a9a89ce20cef90a1e78d34dc2c2afe http://www.bibsonomy.org/burst/bibtex/1c2a9a89ce20cef90a1e78d34dc2c2afe BibSonomy BuRST Feed for /bibtex/1c2a9a89ce20cef90a1e78d34dc2c2afe 2008-08-21T08:10:21+02:00 Wordnet improves Text Document Clustering http://www.bibsonomy.org/bibtex/25a4e316ec46f6936db4e4960bb6fb6d4/sb3000 sb3000 2008-05-16T15:35:25+02:00 imported
Wordnet improves Text Document Clustering
A. Hotho and S. Staab and G. Stumme Proceedings of the Semantic Web Workshop of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval (SIGIR 2003), August 1, 2003, Toronto Canada (2003)
to imported by sb3000 on 2008-05-16 15:35:25 ]]> Proceedings of the Semantic Web Workshop of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval (SIGIR 2003), August 1, 2003, Toronto CanadaPublished Online at \url{http://de.scientificcommons.org/608322}.Wordnet improves Text Document Clustering2003imported 2008-05-16 15:35:25.0 WordNet improves text document clustering http://www.bibsonomy.org/bibtex/2b8c511f87f1f59dcb8aa3ee03ddd7bec/marcoalvarez marcoalvarez 2008-05-14T11:33:59+02:00 Clustering WordNet
WordNet improves text document clustering
Andreas Hotho and Steffen Staab and Gerd Stumme Semantic Web Workshop at the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2003)
to Clustering WordNet by marcoalvarez on 2008-05-14 11:33:59 ]]> Semantic Web Workshop at the Annual International ACM SIGIR Conference on Research and Development in Information RetrievalWordNet improves text document clustering2003Clustering WordNet 2008-05-14 11:33:59.0Text 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. 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. In order to deal with the problem, we integrate background knowledge --- in our application Wordnet --- into the process of clustering text documents. We cluster the documents by a standard 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. Wordnet improves text document clustering http://www.bibsonomy.org/bibtex/204c7d86337d68e4ed9ae637029c43414/jaeschke jaeschke 2007-02-01T14:04:37+01:00 clustering iccs_example text trias_example wordnet
Wordnet improves text document clustering
A Hotho and S. Staab and G. Stumme Proc. SIGIR Semantic Web Workshop (2003)
to clustering iccs_example text trias_example wordnet by jaeschke on 2007-02-01 14:04:37 ]]> TorontoProc. SIGIR Semantic Web WorkshopWordnet improves text document clustering2003clustering iccs_example text trias_example wordnet 2007-02-01 14:04:37.0 WordNet improves text document clustering Institut AIFB - Publikationenhttp://www.bibsonomy.org/bibtex/270ac0bd2162880715ccfcf3326a481f6/example example 2007-01-12T12:23:27+01:00 imported
WordNet improves text document clustering
Andreas Hotho and Steffen Staab and Gerd Stumme Proc. of the SIGIR 2003 Semantic Web Workshop (2003)
to imported by example on 2007-01-12 12:23:27 ]]> Proc. of the SIGIR 2003 Semantic Web WorkshopWordNet improves text document clustering2003imported 2007-01-12 12:23:27.0 Wordnet improves text document clustering http://www.bibsonomy.org/bibtex/204c7d86337d68e4ed9ae637029c43414/stumme stumme 2006-09-21T16:23:46+02:00 2003 clustering data discovery document information ir kdd kmeans knowledge mining myown retrieval text wordnet
Wordnet improves text document clustering
A Hotho and S. Staab and G. Stumme Proc. SIGIR Semantic Web Workshop (2003)
to 2003 clustering data discovery document information ir kdd kmeans knowledge mining myown retrieval text wordnet by stumme on 2006-09-21 16:23:46 ]]> TorontoProc. SIGIR Semantic Web WorkshopWordnet improves text document clustering20032003 clustering data discovery document information ir kdd kmeans knowledge mining myown retrieval text wordnet 2006-09-21 16:23:46.0 WordNet improves text document clustering http://www.bibsonomy.org/bibtex/2b03e58ecb17c09f8c09d1fd93fb24f90/hotho hotho 2006-06-27T09:41:28+02:00 2003 SumSchool06 clustering evaluation myown ontology text wordnet
WordNet improves text document clustering
A. Hotho and S. Staab and G. Stumme Proc. of the SIGIR 2003 Semantic Web Workshop (2003)
to 2003 SumSchool06 clustering evaluation myown ontology text wordnet by hotho on 2006-06-27 09:41:28 ]]> Toronto, CanadaProc. of the SIGIR 2003 Semantic Web WorkshopWordNet improves text document clustering20032003 SumSchool06 clustering evaluation myown ontology text wordnet 2006-06-27 09:41:28.0