• DocumentCode
    3025156
  • Title

    Situation awareness method based on ontology and evidence theory

  • Author

    Yongwei Wang ; Yunan Liu ; Rongcai Zhao ; Wei Qiu ; Cheng Si

  • Author_Institution
    Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    1622
  • Lastpage
    1626
  • Abstract
    The fusion and reasoning of multi-source heterogeneous information is important and difficult in the research of situational awareness. In this paper, the advantages of ontology in certainty reasoning and the advantages of evidence theory in uncertainty reasoning are combined, situation model and reasoning decision algorithm based on ontology and evidence theory is proposed. The model effectively integrates the theory of evidence and ontology, and results that the situational awareness model has strong adaptability. Experimental results show that the proposed method can be easily used in the situation ontology modeling of multi-source heterogeneous information, and effectively improve the accuracy of the inference results.
  • Keywords
    inference mechanisms; ontologies (artificial intelligence); uncertainty handling; evidence theory; multisource heterogeneous information; reasoning decision algorithm; situation awareness method; situation ontology modeling; uncertainty reasoning; Accuracy; Adaptation models; Bayes methods; Cognition; Ontologies; Security; Uncertainty; evidence theory; ontology; reasoning; situation awareness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885320
  • Filename
    6885320