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Service Matchmaking Based on Semantics and Interface Dependencies

  • Shuiguang Deng
  • Jian Wu
  • Ying Li
  • Zhaohui Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4016)

Abstract

Most of the current service matchmaking algorithms are based on one presupposition, in which all inputs of a service are indispensable to each output of that service. However, this presupposition does not always hold. This paper analyses this presupposition and argues that it exerts a negative influence on the recall rate and precision to current matchmaking algorithms. A formal service model is then introduced, which extends the service profile of OWL-S. A new service matchmaking algorithm based on the model and semantics is proposed. Compared with other algorithms, the proposed one takes interface dependencies into consideration while performing matchmaking. This algorithm has been applied in a service composition framework called DartFlow. Our experimental data show that this novel service matchmaking outperforms others in terms of the recall rate and precision.

Keywords

Service Composition Service Request Recall Rate Ontology Class Semantic Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shuiguang Deng
    • 1
  • Jian Wu
    • 1
  • Ying Li
    • 1
  • Zhaohui Wu
    • 1
  1. 1.College of Computer ScienceZhejiang UniversityHangzhouChina

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