Semantic similarity based web services composition framework

Ahmed Abid, Nizar Messai, Mohsen Rouached, Mohamed Abid, Thomas Devogele

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


Computing similarities between Web services is a main concern in Service Oriented Architecture as it allows to decide which services are likely to be matched into a composite workow, or in other cases, which services can be substituted in order to ensure continuous service availability. With the high maturity achieved by the standards, tools and frameworks in the Semantic Web domain, measuring Web services similarities relies more than ever on semantic descriptions of services as well as on semantic relationships these descriptions may hold. In this paper we present a Framework for Web services composition based on computing semantic similarity between Web services. We particularly focus on Services Matching engine which uses the considered similarity measure first to classify Web services into classes of functionally similarWeb services and then to propose a composite sequence of services that matches a requested goal. In both tasks, the presented framework appeals for best known techniques of similarity computing and data and knowledge extraction, respectively.

Original languageEnglish
Title of host publication32nd Annual ACM Symposium on Applied Computing, SAC 2017
PublisherAssociation for Computing Machinery
Number of pages7
ISBN (Electronic)9781450344869
Publication statusPublished - Apr 3 2017
Event32nd Annual ACM Symposium on Applied Computing, SAC 2017 - Marrakesh, Morocco
Duration: Apr 4 2017Apr 6 2017

Publication series

NameProceedings of the ACM Symposium on Applied Computing
VolumePart F128005


Other32nd Annual ACM Symposium on Applied Computing, SAC 2017


  • Discovery and composition
  • Matching
  • Semantic similarity
  • Web services

ASJC Scopus subject areas

  • Software


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