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A Hybrid-Sorting Semantic Matching Method

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Advanced Data Mining and Applications (ADMA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8347))

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Abstract

Semantic Web Service enables automated service discovery, and even execution. Discovering proper services which match the given request has become an important issue as Internet technology develops and service demands increase. Existing service matching methods in service discovering always cost too much time for obtaining precision and recall ratio. This paper proposes a semantic similarity computing algorithm which considers both information capacity and ontology concept distance. Based on this similarity computing algorithm, we present a hybrid-sorting web service matching method. Compare with other methods like OWLS-MX by experiments, our method reduce average query time and we even improve recall ratio and precision ratio. In addition, this method supports service composition, another important issue in service discovery.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

    Kan Li, Wensi Mu, Yong Luan & Shaohua An

Authors
  1. Kan Li
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  2. Wensi Mu
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  3. Yong Luan
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  4. Shaohua An
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Editor information

Editors and Affiliations

  1. US Air Force Office of Scientific Research, 106-0032, Tokyo, Japan

    Hiroshi Motoda

  2. School of Computer Science and Technology, Zhejiang University, 310027, Hangzhou, China

    Zhaohui Wu

  3. Faculty of Engineering and Information Technology, University of Technology, Chippendale, 2008, Sydney, NSW, Australia

    Longbing Cao

  4. Department of Computing Science, Edmonton, University of Alberta, T6G 2E8, Canada

    Osmar Zaiane

  5. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

    Min Yao

  6. School of Computer Science, Fudan University, 200433, Shanghai, China

    Wei Wang

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© 2013 Springer-Verlag Berlin Heidelberg

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Li, K., Mu, W., Luan, Y., An, S. (2013). A Hybrid-Sorting Semantic Matching Method. In: Motoda, H., Wu, Z., Cao, L., Zaiane, O., Yao, M., Wang, W. (eds) Advanced Data Mining and Applications. ADMA 2013. Lecture Notes in Computer Science(), vol 8347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53917-6_36

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  • DOI: https://doi.org/10.1007/978-3-642-53917-6_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53916-9

  • Online ISBN: 978-3-642-53917-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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