• DocumentCode
    127565
  • Title

    Customization of Service-Oriented Domain Models Using SWRL

  • Author

    Xiuhong Chen ; Panpan Gao ; Jian Wang ; Fei He ; Keqing He

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    259
  • Lastpage
    266
  • Abstract
    In service-oriented software development, configuring and composing software services for users according to their personalized requirements become increasingly important. In our previous work, we have proposed a meta-model framework to describe personalized requirements involving domain-related services, based on which we can create domain models to be reused in dealing with personalized requirements. Faced with users´ specified requirements, how to select and customize domain models to satisfy both their personalized requirements and domain restrictions remains an important issue. Towards this end, in this paper, we adopt a rule reasoning approach to customize domain goal models using the Semantic Web Rule Language (SWRL). Two kinds of SWRL rules are defined for recommending and verifying users´ selected goals. These selected goals can be used to find corresponding processes or services to satisfy users´ requirements within our framework. Experiments and implemented prototype show the feasibility of the proposed approach.
  • Keywords
    inference mechanisms; semantic Web; service-oriented architecture; SWRL; domain-related services; metamodel framework; personalized requirements; rule reasoning approach; semantic Web rule language; service-oriented domain models customization; service-oriented software development; software services; Analytical models; Cognition; OWL; Ontologies; Semantics; Software; Unified modeling language; SWRL; domain model; rule engine; service oriented software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2014 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5065-2
  • Type

    conf

  • DOI
    10.1109/SCC.2014.42
  • Filename
    6930542