• DocumentCode
    475664
  • Title

    Research on Semantic Business Platform for Electric Power System

  • Author

    Jiagen, Sheng ; Sifeng, Liu

  • Volume
    1
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    567
  • Lastpage
    570
  • Abstract
    For electric power business decision, the open Web is an important resource of knowledge. Unfortunately, traditional methods of knowledge acquiring, representing and organizing can not satisfy the requirements of semantic to support intelligent decision. Arming to these, a semantic platform oriented business intelligence named SP4BI is proposed by this paper, then two key technologies, model of Web knowledge representation and automatic algorithm of ontology acquiring, are illustrated. Knowledge on the Web are time-related and context-related, these properties are all be considered in representation model of Web knowledge. Meanwhile, the experiments of automatic acquiring electric power ontology show the validity of extracting properties and relations of concepts. Compared with existing methods, SP4BI platform provides a semantic supporting, and is a fundamental of machine reading and automatic reasoning.
  • Keywords
    Internet; competitive intelligence; ontologies (artificial intelligence); power engineering computing; SP4BI platform; Web knowledge representation; electric power system; ontology; open Web; semantic platform oriented business intelligence; Business communication; Data mining; Decision making; Energy management; Information analysis; Knowledge management; Power system management; Resource management; Semantic Web; Technology management; Business; Platform; semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.357
  • Filename
    4609575