Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/58059
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dc.contributor.authorSegev, A.en
dc.contributor.authorSheng, Q.en
dc.date.issued2009en
dc.identifier.citationProceedings of the Workshop on Ontology Patterns (WOP 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington D.C., USA, 25 October, 2009 / E. Blomqvist, K. Sandkuhl, F. Scharffe and V. Svatek (eds.): pp.147-154en
dc.identifier.issn1613-0073en
dc.identifier.urihttp://hdl.handle.net/2440/58059-
dc.description.abstractOntologies have become the de-facto modeling tool of choice, employed in a variety of applications and prominently in the Semantic Web. Nevertheless, ontology construction remains a daunting task. Ontological bootstrapping, which aims at automatically generating concepts and their relations in a given domain, is a promising technique for ontology construction. Bootstrapping an ontology based on a set of predefined textual sources, such as Web services, must address the problem of multiple concepts that are largely unrelated. This paper exploits the advantage that Web services usually consist of both WSDL and free text descriptors. The WSDL descriptor is evaluated using two methods, namely Term Frequency/Inverse Document Frequency (TF/IDF) and Web context generation.We propose an ontology bootstrapping process that integrates the results of both methods and validates the concepts using the free text descriptors, thereby offering a more accurate definition of ontologies.en
dc.description.statementofresponsibilityAviv Segev and Quan Z. Shengen
dc.description.urihttp://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-516/en
dc.language.isoenen
dc.publisherCEURen
dc.rightsCopyright © 2009 for the individual papers by the papers' authors.en
dc.source.urihttp://ceur-ws.org/en
dc.titleOntology construction for web servicesen
dc.typeConference paperen
dc.contributor.conferenceWorkshop on Ontology Patterns (2009 : Washington D.C., USA)en
pubs.publication-statusPublisheden
Appears in Collections:Aurora harvest 5
Computer Science publications

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