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UltiMatch-NL: A Web Service Matchmaker Based on Multiple Semantic Filters

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  • Keyvan Mohebbi
  • Suhaimi Ibrahim
  • Mazdak Zamani
  • Mojtaba Khezrian

Abstract

In this paper, a Semantic Web service matchmaker called UltiMatch-NL is presented. UltiMatch-NL applies two filters namely Signature-based and Description-based on different abstraction levels of a service profile to achieve more accurate results. More specifically, the proposed filters rely on semantic knowledge to extract the similarity between a given pair of service descriptions. Thus it is a further step towards fully automated Web service discovery via making this process more semantic-aware. In addition, a new technique is proposed to weight and combine the results of different filters of UltiMatch-NL, automatically. Moreover, an innovative approach is introduced to predict the relevance of requests and Web services and eliminate the need for setting a threshold value of similarity. In order to evaluate UltiMatch-NL, the repository of OWLS-TC is used. The performance evaluation based on standard measures from the information retrieval field shows that semantic matching of OWL-S services can be significantly improved by incorporating designed matching filters.

Suggested Citation

  • Keyvan Mohebbi & Suhaimi Ibrahim & Mazdak Zamani & Mojtaba Khezrian, 2014. "UltiMatch-NL: A Web Service Matchmaker Based on Multiple Semantic Filters," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-21, August.
    • Handle: RePEc:plo:pone00:0104735
    DOI: 10.1371/journal.pone.0104735
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