• DocumentCode
    2060304
  • Title

    Dynamic Discovery of Complex Constraint-Based Semantic Web Services

  • Author

    Le Duy Ngan ; Jie, Lim Yuan ; Kanagasabai, Rajaraman

  • Author_Institution
    Data Min. Dept., A*STAR, Singapore, Singapore
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    51
  • Lastpage
    58
  • Abstract
    Web service discovery is the process of finding web service providers that satisfy specific service requester requirements. In real life scenarios, services are often described with complex constraints and contain dynamic aspects that are not adequately supported by most of the current discovery systems. In this paper, we propose a novel OWL-S based semantic service discovery system for dynamically discovering complex constraint-based services. The proposed system is based on representing complex service constraints as Semantic Web Rule Language (SWRL) rules and using a rule engine for matchmaking, and handling dynamism via a real-time ontology population and reasoning infrastructure. We consider the Semantic Web Service (SWS) Challenge shipping discovery scenario, and show with detailed illustration that our system is able to solve all the five service complexity levels successfully.
  • Keywords
    Web services; knowledge representation languages; ontologies (artificial intelligence); search engines; semantic Web; OWL-S based semantic service discovery system; Web service providers; challenge shipping discovery scenario; complex constraint-based semantic Web services; real-time ontology population; reasoning infrastructure; rule engine; semantic Web rule language rules; service requester requirements; Engines; Marine vehicles; OWL; Ontologies; Semantics; Web services; ontologies; semantic rules; semantic service matchmaking; semantic web services; web service discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
  • Conference_Location
    Palo Alto, CA
  • Print_ISBN
    978-1-4577-1648-5
  • Electronic_ISBN
    978-0-7695-4492-2
  • Type

    conf

  • DOI
    10.1109/ICSC.2011.38
  • Filename
    6061436