Semantically enabling web service repositories

Sabou, Marta; Maleshkova, Maria and Pan, Jeff Z. (2014). Semantically enabling web service repositories. In: Pan, Jeff Z. and Zhao, Yuting eds. Semantic Web Enabled Software Engineering. Studies on the Semantic Web. Amsterdam: IOS Press, pp. 139–158.




The success of the Web service technology has brought topics such as software reuse and discovery once again on the agenda of software engineers. While there are several efforts towards automating Web service discovery and composition, many developers still search for services via online Web service repositories and then combine them manually. However, from our analysis of these repositories, it yields that, unlike traditional software libraries, they rely on little metadata to support service discovery. We believe that the major cause is the difficulty of automatically deriving metadata that would describe rapidly changing Web service collections. In this paper, we discuss the major shortcomings of current Web service repositories and, as a solution, we report on how to use techniques developed in the context of the Semantic Web (ontology learning, service annotation tools, automatic classifiers, metadata based presentation) to improve the current situation

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  • Item ORO ID
  • 24910
  • Item Type
  • Book Section
  • ISBN
  • 1-61499-369-6, 978-1-61499-369-8
  • Extra Information
  • Paper presented at Semantic Web Enabled Software Engineering (SWESE 2010)

    [About the book]
    Over the last decade, ontology has become an important modeling component in software engineering. Semantic Web Enabled Software Engineering presents some critical findings on opening a new direction of the research of Software Engineering, by exploiting Semantic Web technologies. Most of these findings are from selected papers from the Semantic Web Enabled Software Engineering (SWESE) series of workshops starting from 2005. Edited by two leading researchers, this advanced text presents a unifying and contemporary perspective on the field.

    The book integrates in one volume a unified perspective on concepts and theories of connecting Software Engineering and Semantic Web. It presents state-of-the-art techniques on how to use Semantic Web technologies in Software Engineering and introduces techniques on how to design ontologies for Software Engineering.
  • Academic Unit or School
  • Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
    Faculty of Science, Technology, Engineering and Mathematics (STEM)
  • Research Group
  • Centre for Research in Computing (CRC)
  • Copyright Holders
  • © 2014 Jeff Z. Pan and Yuting Zhao
  • Depositing User
  • Kay Dave