• DocumentCode
    1366299
  • Title

    Continuous Semantics to Analyze Real-Time Data

  • Author

    Sheth, Amit ; Thomas, Christopher ; Mehra, Pankaj

  • Author_Institution
    Wright State Univ., Dayton, OH, USA
  • Volume
    14
  • Issue
    6
  • fYear
    2010
  • Firstpage
    84
  • Lastpage
    89
  • Abstract
    The traditional semantic approach has difficulties dealing with the dynamic domains involved in social, mobile, and sensor webs. Continuous semantics, which captures changing conceptualizations and relevant knowledge, can help us model those domains and analyze the related real-time data.
  • Keywords
    data analysis; real-time systems; semantic Web; conceptual change; continuous semantics; knowledge relevance; real time data analysis; Analytical models; Electronic publishing; Encyclopedias; Internet; Real time systems; Semantics; Internet; Semantic Web; continuous semantics; dynamic domains; ontologies; real-time computing; semantic analysis;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2010.137
  • Filename
    5617065
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1366299