• DocumentCode
    1590660
  • Title

    Studies on Ontology-based irrigation management information systems modeling

  • Author

    Li, Kairong ; Gao, Weiying ; Cheng, Jilin

  • Author_Institution
    Coll. of Inf. Eng., Yangzhou Univ., Yangzhou, China
  • fYear
    2010
  • Firstpage
    145
  • Lastpage
    149
  • Abstract
    Research and development irrigation management information systems are the important measures of making irrigation management more modernized and standardized. The difficulties of building information systems have been increased along with the continuous development of information technology and the complexity of information systems, information systems put forward higher request to “shared” and “reuse”. Ontology-based information systems modeling can eliminate semantic differences, and carry out knowledge sharing and interoperability of different systems. In this paper, we introduce several common models which used in information systems modeling briefly; and then we introduce ontology, summarize ontology-based information systems modeling process; finally, we discuss the applications of ontology-based information systems modeling in irrigation management information systems preliminary.
  • Keywords
    information systems; information technology; irrigation; ontologies (artificial intelligence); research and development; information systems modeling; information technology; ontology-based irrigation management; research and development; Computational modeling; Ontologies; Semantics; irrigation management information systems; ontology; systems modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665470