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Knowledge Representation and WordNets

Author

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  • Alexandra Gabriela Tudorache

    (University Tor Vergata of Rome)

Abstract

Knowledge itself is a representation of “real facts”. Knowledge is a logical model that presents facts from “the real world” witch can be expressed in a formal language. Representation means the construction of a model of some part of reality. Knowledge representation is contingent to both cognitive science and artificial intelligence. In cognitive science it expresses the way people store and process the information. In the AI field the goal is to store knowledge in such way that permits intelligent programs to represent information as nearly as possible to human intelligence. Knowledge Representation is referred to the formal representation of knowledge intended to be processed and stored by computers and to draw conclusions from this knowledge. Examples of applications are expert systems, machine translation systems, computer-aided maintenance systems and information retrieval systems (including database front-ends).

Suggested Citation

  • Alexandra Gabriela Tudorache, 2007. "Knowledge Representation and WordNets," Journal of Information Systems & Operations Management, Romanian-American University, vol. 1(1), pages 60-65, Winter.
  • Handle: RePEc:rau:jisomg:v:1:y:2007:i:1:p:60-65
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI07/JISOM-WI07-A11.pdf
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    References listed on IDEAS

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    1. Jean-Claude Cosset & Jean-Marc Suret, 1995. "Political Risk and the Benefits of International Portfolio Diversification," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 26(2), pages 301-318, June.
    2. Sohnke M. Bartram & Gunter Dufey, 2001. "International Portfolio Investment: Theory, Evidence, and Institutional Framework," Finance 0107001, EconWPA.
    3. Nahum Biger, 1979. "Exchange Risk Implications of International Portfolio Diversification," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 10(2), pages 63-74, June.
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    Keywords

    knowledge; representation; ai models; databases; cams;

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