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Engineering knowledge

Published:02 April 2004Publication History

ABSTRACT

Knowledge engineers build knowledge-based systems in order to solve problems in a particular field of human endeavor. Knowledge-based systems use ontologies to organize concepts and relationships between concepts. This paper presents two undergraduate research projects in developing two different types of ontologies.

References

  1. Guarino, N., Giaretta, P., Ontologies and knowledge bases: toward a terminological clarification, in Towards Very Large Knowledge Bases: Knowledge Building and Knowledge Sharing, N. Mars (Editor), 25--32, ISO Press: Amsterdam, The Netherlands, 1995.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Maedche, A., Ontology Learning for the Semantic Web, Kluwer Academic Publishers: Norwell, MA, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  4. Schreiber, G., Akkermans, H., Anjewierden, A., deHoog, R., Shadbolt, N., de Velde, W., and Wielinga, B. Knowledge Engineering and Management: The CommonKADS Methodology, MIT Press: Cambridge, MA, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Smith, R., and Farquhar, A. The Road Ahead for Knowledge Management: An AI Perspective. AI Magazine 21, 4, (2000) 17--40.Google ScholarGoogle Scholar
  6. Uschold, M., King, M., Towards a methodology for building ontologies, in Workshop on Basic Ontological Issues in Knowledge Sharing, IJCAI-95 (Montreal, Canada).Google ScholarGoogle Scholar

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  1. Engineering knowledge

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    • Published in

      cover image ACM Conferences
      ACM-SE 42: Proceedings of the 42nd annual Southeast regional conference
      April 2004
      485 pages
      ISBN:1581138709
      DOI:10.1145/986537
      • General Chair:
      • Seong-Moo Yoo,
      • Program Chair:
      • Letha Hughes Etzkorn

      Copyright © 2004 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 April 2004

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