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Ontology Learning for Cost-Effective Large-Scale Semantic Annotation of Web Service Interfaces
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture (Closed 20120101), Software and Computer Systems, SCS (Closed 20120101).
University of Tartu.
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture (Closed 20120101), Software and Computer Systems, SCS (Closed 20120101).ORCID iD: 0000-0002-4722-0823
2010 (English)In: Knowledge Engineering and Management by the Masses, EKAW 2010, Springer Berlin/Heidelberg, 2010, 401-410 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we introduce a novel unsupervised ontology learning approach, which can be used to automatically derive a reference ontology from a corpus of web services for annotating semantically the Web services in the absence of a core ontology. Our approach relies on shallow parsing technique from natural language processing in order to identify grammatical patterns of web service message element/part names and exploit them in construction of the ontology. The generated ontology is further enriched by introducing relationships between similar concepts. The experimental results on a set of global Web services indicate that the proposed ontology learning approach generates an ontology, which can be used to automatically annotate around 52% of element part and field names in a large corpus of heterogeneous Web services.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2010. 401-410 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6317
Keyword [en]
NLP, Ontology Learning, Web Services Annotation
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-74919DOI: 10.1007/978-3-642-16438-5_30ISI: 000312832300030Scopus ID: 2-s2.0-78650236201ISBN: 978-3-642-16437-8 (print)OAI: oai:DiVA.org:kth-74919DiVA: diva2:490189
Conference
17th International Conference on Knowledge Engineering and Management by the Masses, EKAW 2010; Lisbon; 11 October 2010 through 15 October 2010
Note

QC 20120301

Available from: 2012-02-04 Created: 2012-02-04 Last updated: 2013-12-19Bibliographically approved

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Matskin, Mihhail

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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