<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/davidlan/folksontology"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/davidlan/folksontology</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2ace5ff38dde26e6c9dbf9db4e31e6546/davidlan"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2ace5ff38dde26e6c9dbf9db4e31e6546/davidlan"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/FolksOntology.pdf"/><swrc:date>Mon Mar 16 19:45:31 CET 2009</swrc:date><swrc:booktitle>Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)</swrc:booktitle><swrc:pages>57-70</swrc:pages><swrc:title>FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>folksonomies folksontology ontologies </swrc:keywords><swrc:abstract>We can observe that the amount of non-toy domain ontologies is still
	very limited for many areas of interest. In contrast, folksonomies
	are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2)
	annotating pictures (e.g. flickr), or (3) classifying scholarly publications
	(e.g. bibsonomy). However, such folksonomies cannot offer the expressivity
	of ontologies, and the respective tags often lack a context-independent
	and intersubjective definition of meaning. Also, folksonomies and
	other unsupervised vocabularies frequently suffer from inconsistencies
	and redundancies. In this paper, we argue that the social interaction
	manifested in folksonomies and in their usage should be exploited
	for building and maintaining ontologies. Then, we sketch a comprehensive
	approach for deriving ontologies from folksonomies by integrating
	multiple resources and techniques. In detail, we suggest combining
	(1) the statistical analysis of folksonomies, associated usage data,
	and their implicit social networks, (2) online lexical resources
	like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies
	and Semantic Web resources, (4) ontology mapping and matching approaches,
	and (5) functionality that helps human actors in achieving and maintaining
	consensus over ontology element suggestions resulting from the preceding
	steps.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="DaHS07.pdf:folksonomies\\DaHS07.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Céline Van Damme"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Martin Hepp"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Katharina Siorpaes"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>
