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Evaluation of Semi-Automatic Acquisition of Semantic Descriptions of Web Services
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.
University of Tartu.
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.ORCID iD: 0000-0002-4722-0823
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces and evaluates a novel Web service interface annotation and matching scheme designed for processing large sets of Web service interface descriptions. The matching scheme relies on a set of rules, which exploit the structural relationships encoded in an automatically learned ontology to discover matching interface elements. The proposed scheme is evaluated on a Web services interface corpus consisting of WSDL descriptions. The experimental results show that the proposed matching scheme can be used for bootstrapping large-scale Web service interface annotation.

Place, publisher, year, edition, pages
Karolinum, 2011. 353-356 p.
Keyword [en]
Web service annotation; schema matching; XSD; WSDL
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-84118Scopus ID: 2-s2.0-84855552765OAI: oai:DiVA.org:kth-84118DiVA: diva2:499186
Conference
23rd International Conference on Software Engineering {\&} Knowledge Engineering (SEKE'2011)
Note
QC 20120215Available from: 2012-02-15 Created: 2012-02-13 Last updated: 2012-02-15Bibliographically approved

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fulltext(323 kB)128 downloads
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Matskin, Mihhail

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • 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
  • html
  • text
  • asciidoc
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