<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/hotho/measure"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/hotho/measure</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2d16e752a8295d5dad7e26b199d9f614f/hotho"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2d16e752a8295d5dad7e26b199d9f614f/hotho"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://www2009.eprints.org/65/"/><swrc:date>Sat Apr 25 10:19:53 CEST 2009</swrc:date><swrc:booktitle>18th International World Wide Web Conference</swrc:booktitle><swrc:month>April</swrc:month><swrc:pages>641--641</swrc:pages><swrc:title>Evaluating Similarity Measures for Emergent Semantics of Social Tagging</swrc:title><swrc:year>2009</swrc:year><swrc:keywords>2009 measure myown semantics similarity social tagging taggingsurvey tagorapub </swrc:keywords><swrc:abstract>Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We ?nd that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Benjamin Markines"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ciro Cattuto"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Filippo Menczer"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Dominik Benz"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Andreas Hotho"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Gerd Stumme"/></rdf:_6></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/20dfba1feb19c33be82d8df3ebbec7b70/hotho"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/20dfba1feb19c33be82d8df3ebbec7b70/hotho"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://portal.acm.org/citation.cfm?id=1034693&amp;dl="/><swrc:date>Thu Dec 18 13:57:57 CET 2008</swrc:date><swrc:address>Morristown, NJ, USA</swrc:address><swrc:booktitle>Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics</swrc:booktitle><swrc:pages>25--32</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Association for Computational Linguistics"/></swrc:publisher><swrc:title>Measures of distributional similarity</swrc:title><swrc:year>1999</swrc:year><swrc:keywords>measure similarity toread </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="College Park, Maryland" swrc:key="location"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="1-55860-609-3" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="http://dx.doi.org/10.3115/1034678.1034693" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Lillian Lee"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/28141b60833aad6f7bb548af415024ab7/hotho"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/28141b60833aad6f7bb548af415024ab7/hotho"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://delivery.acm.org/10.1145/350000/345543/p33-buckley.pdf"/><swrc:date>Thu Mar 16 12:36:16 CET 2006</swrc:date><swrc:booktitle>SIGIR</swrc:booktitle><swrc:pages>33-40</swrc:pages><swrc:title>Evaluating evaluation measure stability.</swrc:title><swrc:year>2000</swrc:year><swrc:keywords>evaluation measure </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://doi.acm.org/10.1145/345508.345543" swrc:key="ee"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Chris Buckley"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ellen M. Voorhees"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>
