<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/user/steff83/learning"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/steff83/learning</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/266058efbca5abd1222f72c32365d23fa/steff83"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/266058efbca5abd1222f72c32365d23fa/steff83"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="ftp://ftp.computer.org/press/outgoing/proceedings/icdm07/Data/3018a332.pdf"/><swrc:date>Mon Aug 25 16:28:50 CEST 2008</swrc:date><swrc:booktitle>Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on</swrc:booktitle><swrc:pages>332-341</swrc:pages><swrc:title>Improving Text Classification by Using Encyclopedia Knowledge</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>master_thesis classification ontology wikipedia text learning </swrc:keywords><swrc:abstract>The exponential growth of text documents available on the Internet has created an urgent need for accurate, fast, and general purpose text classification algorithms. However, the &#034;bag of words&#034; representation used for these classification methods is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. In order to deal with this problem, we integrate background knowledge - in our application: Wikipedia - into the process of classifying text documents. The experimental evaluation on Reuters newsfeeds and several other corpus shows that our classification results with encyclopedia knowledge are much better than the baseline &#034;bag of words &#034; methods.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1550-4786" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-0-7695-3018-5" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1109/ICDM.2007.77" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Pu Wang"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Jian Hu"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Hua-Jun Zeng"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Lijun Chen"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Zheng Chen"/></rdf:_5></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/22c3aea62cafdd8a01a68e3fbed7b4071/steff83"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/22c3aea62cafdd8a01a68e3fbed7b4071/steff83"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://www.informatik.uni-freiburg.de/cgnm/pub/pdfs/Schmidt-Thieme2005-compound-classifiers-for-recommender-systems.pdf"/><swrc:date>Thu Aug 09 14:13:31 CEST 2007</swrc:date><swrc:address>Houston, Texas, USA</swrc:address><swrc:booktitle>Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005</swrc:booktitle><swrc:pages>378-385</swrc:pages><swrc:publisher><swrc:Organization swrc:name="IEEE Computer Society"/></swrc:publisher><swrc:title>Compound Classification Models for Recommender Systems.</swrc:title><swrc:year>2005</swrc:year><swrc:keywords>projekt learning recommender supervised kde classification </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.46" swrc:key="ee"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="DBLP, http://dblp.uni-trier.de" swrc:key="bibsource"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="0-7695-2278-5" swrc:key="isbn"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Lars Schmidt-Thieme"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>