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Ontology acquisition from web service descriptions
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.ORCID iD: 0000-0002-4722-0823
2013 (English)In: Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC '13, Coimbra, Portugal, March 18-22, 2013. ACM 2013 9 / [ed] Sung Y. Shin, José Carlos Maldonado (Eds), 2013, 325-332 p.Conference paper, Published paper (Refereed)
Abstract [en]

The lack of formally expressed semantics in web services complemented with the increasing number of available web services is the main obstacle in analyzing and using the existing web services exposed in the Web. In the absence of appropriate reference domain ontology, annotation of existing web services is dependent on ontology development and ontology learning techniques. In this paper we present an unsupervised ontology learning approach tailored to learning from WSDL documents. The most specific feature of the suggested approach is that it constructs (semi-) automatically ontology fragments from a collection of WSDL documents, that lack any extra textual documentation, by just exploiting element names in the WSDL document. The suggested approach combines both linguistic and statistic analysis techniques such as lexico-syntactic patterns and term co-occurrence analysis. The preliminary results show that the generated ontology captures correctly more than half of the semantic classes and instances as well as taxonomic and non-taxonomic relations, hence, providing a reasonable basis for automatic web services annotation.

Place, publisher, year, edition, pages
2013. 325-332 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-124191DOI: 10.1145/2480362.2480430Scopus ID: 2-s2.0-84877937218ISBN: 978-1-4503-1656-9 (print)OAI: oai:DiVA.org:kth-124191DiVA: diva2:633637
Conference
28th Annual ACM Symposium on Applied Computing, SAC '13, Coimbra, Portugal, March 18-22, 2013.
Note

QC 20130703

Available from: 2013-06-27 Created: 2013-06-27 Last updated: 2013-07-03Bibliographically approved

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Matskin, Mihhail

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
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  • Other locale
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Output format
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