• DocumentCode
    3125156
  • Title

    Detective DSS Based on Content Cognition Technology

  • Author

    Li, Kairong ; Wang, Juanni ; Gao, Weiying ; Liu, Xiaoyan

  • Author_Institution
    Inf. Eng. Sch., Yangzhou Univ., Yangzhou, China
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    At present, some problems have emerged in the detection systems such as collecting incomprehensive evidence, over-reliance on the confessions and other problems. All of these problems stem from data can not be shared. To eliminate this disadvantage, this paper proposed a detective decision support system (DSS) based on content cognition technology. Ontology is used to describe concepts and the interrelationships in a specify field, or even in a wider range, it can make these concepts and relations have common recognized, clear and the single definitions in the sharing range. This paper summarizes the problems existed in the detection systems, then proposes ontology and discusses the method to construct the domain ontology. This paper designs a detective decision-making data warehouse model which based on ontology, and also gives an example to verify the feasibility and innovation of this approach.
  • Keywords
    cognition; data warehouses; decision making; decision support systems; ontologies (artificial intelligence); content cognition technology; detective decision making data warehouse model; detective decision support system; domain ontology; Cognition; Data warehouses; Decision making; Decision support systems; Information systems; Information technology; Ontologies; Solids; Technological innovation; Wireless networks; content cognition technology; detective decision support system; domain ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3901-0
  • Electronic_ISBN
    978-1-4244-5400-6
  • Type

    conf

  • DOI
    10.1109/WNIS.2009.22
  • Filename
    5381918