• DocumentCode
    2988316
  • Title

    Semantic Analysis on Knowledge System of Intelligence Science and Technology

  • Author

    Huang, Yinghui ; Li, Guanyu

  • Author_Institution
    Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    1868
  • Lastpage
    1871
  • Abstract
    This paper starts with expatiating on the semantic meanings of intelligence, science and technology. Firstly explains the connotation of concepts of the human intelligence, the artificial intelligence, the intelligence science and technology. Secondly discusses the construction of the knowledge system of intelligence science and technology. Thirdly analyzes the elements of the human intelligence science, the artificial intelligence science and the artificial intelligence technology. Lastly sets up the knowledge system of intelligence science and technology by integrating these elements. Some interesting research conclusions are obtained, i.e. the intelligence denotes the intelligent ability; the meaning of intelligence is that human or machine are able to cognize the world and understand it; the knowledge system of intelligence science and technology is composed of two kinds of theories and four kinds of technologies which are the brain theory, the machine reasoning theory, the machine perception technology, the knowledge discovery technology, the expert system technology, and the robot technology.
  • Keywords
    cognition; data mining; expert systems; artificial intelligence; brain theory; expert system; human intelligence; intelligence science and technology; knowledge discovery; knowledge system; machine perception technology; machine reasoning theory; robot technology; semantic analysis; Cognition; Expert systems; Humans; Robots; Semantics; artificial intelligence; human intelligence; intelligence; intelligence science and technology; semantic analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.459
  • Filename
    5630295