WSSM: A wordnet-based web service similarity mining mechanism

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the challenging issues in web service research is to efficiently find appropriate services from large volumes of existing services. In this paper, we propose a WordNet-based web service similarity mining mechanism called WSSM to address this issue. WSSM can effectively cluster services into different categories so as to reduce the searching space. As a result, it improves service discovery efficiency greatly. Finally, based on the web services collected from online service repositories, we conduct extensive experiments to study the performance of our implementation.

Original languageEnglish
Title of host publicationComputation World
Subtitle of host publicationFuture Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009
Pages339-345
Number of pages7
DOIs
StatePublished - 2009
EventComputation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 - Athens, Greece
Duration: 15 Nov 200920 Nov 2009

Publication series

NameComputation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009

Conference

ConferenceComputation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009
Country/TerritoryGreece
CityAthens
Period15/11/0920/11/09

Keywords

  • Data mining
  • Service discovery
  • Similarity
  • Web service

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