<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/lysander07/WCMHLT2006"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/lysander07/WCMHLT2006</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2c9c529d170f8e7e91502d94cb2c785b9/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2c9c529d170f8e7e91502d94cb2c785b9/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/13.pdf"/><swrc:date>Mon Nov 06 22:17:53 CET 2006</swrc:date><swrc:booktitle>Proc. of ISWC2006 Workshop on Web Content Mining with Human Language Technology</swrc:booktitle><swrc:title>Extracting a Social Network among Entities by Web mining</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>co-occurence web2.0 WCMHLT2006 datamining socialNetworks </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="YingZi Jin"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Yutaka Matsuo"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Mitsuru Ishizuka"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2027513ba40abf3789d6e8872fbe07287/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2027513ba40abf3789d6e8872fbe07287/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/3.pdf"/><swrc:date>Mon Nov 06 22:05:31 CET 2006</swrc:date><swrc:booktitle>Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language Technologies</swrc:booktitle><swrc:title>Instance Classification using Co-Occurrences on the Web</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>co-occurence WCMHLT2006 google datamining linguistics </swrc:keywords><swrc:abstract>We present a novel unsupervised approach to mapping artrelated
instances (such as music artists and painters) to subjective categories
like genre and style. We base our approach on co-occurrences of
the two on the web, found with Google. The co-occurrences are found
using three methods: by identifying the search engine counts, by analyzing
Google excerpts found by querying patterns and by scanning full
documents. Per instance, we use the same co-occurrence-based approach
to find its nearest neighbors, i.e. the most related instances. These results
can be combined in order to create a more reliable classification.
We tested and compared the three methods on two different domains:
mapping music artists to genres, and painters to art-styles. The results
show that the use of related instances indeed improves the precision of
the classification. Moreover, the methods with the lowest Google Complexity
perform best.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Gijs Geleijnse"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Jan Korst"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Viktor de Boer"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2026dd8decd2c8b45f96b0e89838231af/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2026dd8decd2c8b45f96b0e89838231af/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/22.pdf"/><swrc:date>Mon Nov 06 21:18:15 CET 2006</swrc:date><swrc:booktitle>Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language technology</swrc:booktitle><swrc:title>Extracting Common Sense Knowledge from Wikipedia</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>WCMHLT2006 linguistics wikipedia </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Sangweon Suh"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Harry Halpin"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Ewan Klein"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/24b8618d51dbdb4ce24310c1a5b0d3bd8/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/24b8618d51dbdb4ce24310c1a5b0d3bd8/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/16.pdf"/><swrc:date>Mon Nov 06 21:15:21 CET 2006</swrc:date><swrc:booktitle>Proc. of ISWC2006 Web Content Mining with Human Language Technology</swrc:booktitle><swrc:title>Coreference resolution on RDF Graphs generated from Information Extraction: first results</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>WCMHLT2006 linguistics </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Mikalai Yatskevich"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Chris Welty"/></rdf:_2><rdf:_3><swrc:Person swrc:name="J. William Murdock"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/21a6a570c5349e6b17c5de1f53a83ff00/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/21a6a570c5349e6b17c5de1f53a83ff00/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/10.pdf"/><swrc:date>Mon Nov 06 21:06:27 CET 2006</swrc:date><swrc:booktitle>Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language Technologies</swrc:booktitle><swrc:title>Mining and Assessing Discussions on the Web through Speech Act Analysis</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>ontologyLearning WCMHLT2006 datamining speechanalysis </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Donghui Feng"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Erin Shaw"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Eduard Hovy"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2267dbeb828a421c2acaadd0eaf4baebe/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2267dbeb828a421c2acaadd0eaf4baebe/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/7.pdf"/><swrc:date>Mon Nov 06 21:01:19 CET 2006</swrc:date><swrc:booktitle>Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language Technologies</swrc:booktitle><swrc:title>Constructing Dictionaries for Named Entity Recognition on Specific Domains from the Web</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>WCMHLT2006 linguistics </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Keiji Shinzato"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Satoshi Sekine"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Naoki Yoshinaga"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Kentaro Torisawa"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/24b3336e01652540bfe38efbeeff26618/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/24b3336e01652540bfe38efbeeff26618/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/18.pdf"/><swrc:date>Mon Nov 06 20:36:31 CET 2006</swrc:date><swrc:booktitle>Proc. of ISWC2006 Workshop on Web Content Mining with Human Language Technology</swrc:booktitle><swrc:title>Focused Data Mining for decision support in Emergency Response Scenarios.</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>WCMHLT2006 desaster emergency decisionsupport </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Sam Chapman"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Fabio Ciravegna"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2574c228e27d09c99971b83a6a64ce5a3/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2574c228e27d09c99971b83a6a64ce5a3/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/4.pdf"/><swrc:date>Mon Nov 06 20:11:04 CET 2006</swrc:date><swrc:booktitle>Proc. of ISWC2006 Workshop on Web Content Mining with Human Language Technologies</swrc:booktitle><swrc:title>Web-based Ontology Learning with ISOLDE</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>ontologyLearning WCMHLT2006 </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Nicolas Weber"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Paul Buitelaar"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2b4551ac88a3954153d61e86be6f188c2/lysander07"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2b4551ac88a3954153d61e86be6f188c2/lysander07"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://orestes.ii.uam.es/workshop/12.pdf"/><swrc:date>Mon Nov 06 20:01:03 CET 2006</swrc:date><swrc:booktitle>Proc.of the ISWC 2006 Workshop on Web Content Mining with Human Language Technologies</swrc:booktitle><swrc:title>Acquiring Ontological Relationships from Wikipedia Using RMRS</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>ontologyLearning WCMHLT2006 linguistics ontologies wikipedia </swrc:keywords><swrc:abstract>We investigate the extraction of ontologies from biological
text using a semantic representation derived from a robust parser. The
use of a semantic representation avoids the problems that traditional
pattern-based approaches have with complex syntactic constructions and
long-distance dependencies. The discovery of taxonomic relationships is
explored in a corpus consisting of 12,200 animal-related articles from
the online encyclopaedia Wikipedia. The semantic representation used is
Robust Minimal Recursion Semantics (RMRS). Initial experiments show
good results in systematising extraction across a variety of hyponymic
constructions.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Aurelie Herbelot"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ann Copestake"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>
