An approach for semantic web services automatic discovery and composition with similarity metrics

  • Authors:
  • Ivo Calado;Heitor Barros;Ig Ibert Bittencourt

  • Affiliations:
  • Federal University of Campina Grande, Campina Grande, Paraíba, Brazil;Federal University of Alagoas, Maceio, Alagoas, Brazil;Federal University of Alagoas, Maceio, Alagoas, Brazil

  • Venue:
  • Proceedings of the 2009 ACM symposium on Applied Computing
  • Year:
  • 2009

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Abstract

With the emerging growth of web services tecnology, the Web is now evolving to become a service provider. In this context, the semantic web services discovery and composition are hard tasks because injecting context into adaptive service integration raises a number of significant challenges, i.e. defining effective metrics to manage adaptation. This paper proposes an algorithm for Semantic Web Services discovery and compositon which makes use of similarity metrics.