Learning ontologies to improve the quality of automatic web service matching

  • Authors:
  • Hui Guo;Anca Andreea Ivan;Rama Akkiraju;Richard Goodwin

  • Affiliations:
  • Stony Brook University, Stony Brook, NY;IBM T.J. Watson Research Center, Hawthorne, NY;IBM T.J. Watson Research Center, Hawthorne, NY;IBM T.J. Watson Research Center, Hawthorne, NY

  • Venue:
  • Proceedings of the 16th international conference on World Wide Web
  • Year:
  • 2007

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Abstract

This paper presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services.