• DocumentCode
    2117735
  • Title

    The Knowledge Description of Emergency Information Semantic Metadata Model and its Application

  • Author

    Xiankun, Zhang ; Du Lei ; Shan, Gao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    In order to integrate and share emergency information, resolve semantic ambiguities in expressing emergency information, an emergency information semantic metadata model (EISMDM) based on Description Logic was constructed in this paper. Firstly, according to feature of emergency business, an emergency information semantic metadata model was structured using Description Logic; the model is a seven-tuple consisting of seven parts: terms set, terms definitions set, instances set, instances definitions set, relations set, constraints set and notations set. Secondly, the semantic model was analyzed carefully, and corresponding semantic explication was given. Finally, EISMDM was validated by an application. The experimentation indicate that the emergency information could be semantic integrated very well using EISMDM.
  • Keywords
    emergency services; meta data; ontologies (artificial intelligence); constraints set; description logic; emergency business; emergency information semantic metadata model; instances definitions set; instances set; knowledge description; notations set; ontology; relations set; terms definitions set; terms set; Adaptation model; Analytical models; Computational modeling; Earthquakes; Information services; Ontologies; Semantics; Description Logic; Emergency; Information Sharing; Ontology; Semantic Metadata Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.152
  • Filename
    5573837