An Introduction to Ontology Based Structured Knowledge Base System: Knowledge Acquisition Module

  • Marek Krótkiewicz
  • Krystian Wojtkiewicz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7802)

Abstract

The following text presents the method of supplementing and verifying information stored in a framework system of the semantic knowledge base. The indicated method refers to the knowledge of ontological character, in other words to information about definitions of concepts and relationships among them. The aim of the method is the constant supplementing and verifying of the knowledge, and making more precise and detailed information about existing connections between concepts. The key aspect of the method is questions generating strictly dependent on the preconceived structure of stored knowledge.

Keywords

knowledge base semantic knowledge ontology knowledge acquisition knowledge verifying knowledge processing reliability of knowledge 

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References

  1. 1.
    Krótkiewicz, M., Wojtkiewicz, K.: Conceptual ontological object knowledge base and language. In: Kurzyński, M., Puchała, E., Woźniak, M., Żołnierek, A. (eds.) Computer Recognition Systems Proceedings of the 4th International Conference on Computer Recognition, pp. 227–234. Springer, Berlin (2005)CrossRefGoogle Scholar
  2. 2.
    Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)CrossRefGoogle Scholar
  3. 3.
    Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Originally. In: Guarino, N., Poli, R. (eds.) International Workshop on Formal Ontology, Padova, Italy (revised August 1993); Published in International Journal of Human-Computer Studies 43(5-6), 907–928 (1993, November/December 1995) Google Scholar
  4. 4.
    Kulikowski, J.L.: Data Quality Assessment. In: Encyclopedia of Database Technologies and Applications, pp. 116–120 (2005)Google Scholar
  5. 5.
    Duong, T.H., Nguyen, N.T., Jo, G.: A Hybrid Method for Integrating Multiple Ontologies. Cybernetics and Systems 40(2), 123–145 (2009)MATHCrossRefGoogle Scholar
  6. 6.
    Krótkiewicz, M., Wojtkiewicz, K.: Knowledge Acquisition in Conceptual Ontological Artificial Intelligence System. In: Hippe, Z.S., Kulikowski, J.L. (eds.) Human-Computer Systems Interaction. AISC, vol. 60, pp. 29–37. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Hendrix, G.G.: Expanding the utility of semantic networks through partitioning. In: Proceedings of the 4th International Joint Conference on Artificial Intelligence, Tbilisi, Georgia, USSR, pp. 115–121 (1975)Google Scholar
  8. 8.
    Nirenburg, S., Raskin, V.: Ontological Semantics. The MIT Press, Cambridge (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marek Krótkiewicz
    • 1
  • Krystian Wojtkiewicz
    • 1
  1. 1.Institute of Mathematics and InformaticsUniversity of OpoleOpolePoland

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