• DocumentCode
    2710289
  • Title

    Reasoning over ontologies of on demand service

  • Author

    Zhou, Yu ; Zhao, Qian ; Perry, Mark

  • Author_Institution
    Univ. of Western Ontario, London, Ont., Canada
  • fYear
    2005
  • fDate
    29 March-1 April 2005
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    At the heart of autonomic computing (AC) and on demand services (ODS), business rules play a vital role because they can help ´gluing´ managed resources, software components, and e-services together in accordance with business goals. Logic programming, the theoretic basis of rule engines, has gradually gained maturity in academia during past decades. From the practical point of view, however, existing rule engines are not useable enough in business applications, which in turn stalls further development of both logic programming and information technologies in industry. We need a straightforward way to utilize rules in a variety of domains. This paper presents a new paradigm in integrating rule engine technologies into on demand services and their management. We propose a Java semantic mapping schema and are implementing a dynamic knowledge-base builder based on well-defined ODS ontologies.
  • Keywords
    Java; inference mechanisms; knowledge based systems; logic programming; ontologies (artificial intelligence); semantic Web; Java semantic mapping schema; ODS ontologies; autonomic computing; business rules; dynamic knowledge-base builder; information technologies; logic programming; on demand services; rule engines; Application software; Engines; Heart; Instruments; Knowledge management; Licenses; Logic programming; Ontologies; Runtime; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Technology, e-Commerce and e-Service, 2005. EEE '05. Proceedings. The 2005 IEEE International Conference on
  • Print_ISBN
    0-7695-2274-2
  • Type

    conf

  • DOI
    10.1109/EEE.2005.112
  • Filename
    1402326