• DocumentCode
    1877522
  • Title

    Study on Family Relations Reasoning Based on Automated Reasoning

  • Author

    Ge Qiang ; Zheng Fengbin

  • Author_Institution
    Inst. of Data & Knowledge Eng., Henan Univ., KaiFeng, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Automated reasoning has become the research hotspot among researchers, and family relations are common logic knowledge, which can be reasoned. This paper presents four basic relations on family relations, which can deduce others new complex relations. The relation knowledge was stored in knowledge database as forms of basic relations. Some common questions could be deduced successfully and receive correct answers. The study gives an intelligent inference procedure on family relations and two algorithms, one algorithm is Positive Retrieving Information Algorithm (PRIA), and the other is Negative Recombination Information Algorithm (NRIA), which could be well programmed.
  • Keywords
    inference mechanisms; information retrieval; automated reasoning; complex relations; family relation reasoning; intelligent inference procedure; knowledge database; logic knowledge; negative recombination information algorithm; positive retrieving information algorithm; relation knowledge; Cognition; Computers; Geometry; Inference algorithms; Knowledge engineering; Natural languages; Presses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677058
  • Filename
    5677058