• DocumentCode
    2272246
  • Title

    An empirical quality model for web service ontologies to support mobile devices

  • Author

    Schrimpsher, Dan ; Etzkorn, Letha

  • Author_Institution
    Comput. Sci. Dept., Univ. of Alabama Huntsville, Huntsville, AL, USA
  • fYear
    2009
  • fDate
    15-16 Oct. 2009
  • Firstpage
    447
  • Lastpage
    450
  • Abstract
    As Web services and the semantic Web become more important, enabling technologies such as Web service ontologies will grow larger. The ability of mobile devices, such as cell phones and PDAs, to download and reason across them will be severely limited. Given that an agent on a mobile device only needs a subset of what is described in a Web service ontology, an ontology sub-graph can be created. In this paper, we develop a empirical software engineering approach to build a prediction model to measure the quality in terms of correct query handling of ontology sub-graphs relative to the original ontology - mean average recall of the sub-graph compared to the original ontology is used as the quality standard. Our metrics allow speedy selection of a sub-graph for use by a mobile device.
  • Keywords
    Web services; graph theory; mobile computing; ontologies (artificial intelligence); semantic Web; Web service ontologies; empirical quality model; empirical software engineering approach; ontology subgraph; semantic Web; Cellular phones; Measurement standards; Ontologies; Personal digital assistants; Predictive models; Semantic Web; Software engineering; Software measurement; Software standards; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4244-4842-5
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1109/ESEM.2009.5315993
  • Filename
    5315993