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Engineering knowledge

Published: 02 April 2004 Publication 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.
[2]
Maedche, A., Ontology Learning for the Semantic Web, Kluwer Academic Publishers: Norwell, MA, 2002.
[3]
Noy, N., and Hafner, C. The state of the art in ontology design: a survey and comparative review. AI Magazine, 18, 3, (1997) 53--74.
[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.
[5]
Smith, R., and Farquhar, A. The Road Ahead for Knowledge Management: An AI Perspective. AI Magazine 21, 4, (2000) 17--40.
[6]
Uschold, M., King, M., Towards a methodology for building ontologies, in Workshop on Basic Ontological Issues in Knowledge Sharing, IJCAI-95 (Montreal, Canada).

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  1. Engineering knowledge

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    Published In

    cover image ACM Conferences
    ACMSE '04: Proceedings of the 42nd annual ACM Southeast Conference
    April 2004
    485 pages
    ISBN:1581138709
    DOI:10.1145/986537
    • General Chair:
    • Seong-Moo Yoo,
    • Program Chair:
    • Letha Hughes Etzkorn
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 April 2004

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    Author Tags

    1. implementation
    2. knowledge engineering
    3. ontology

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    ACM SE04
    Sponsor:
    ACM SE04: ACM Southeast Regional Conference 2004
    April 2 - 3, 2004
    Alabama, Huntsville

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    Overall Acceptance Rate 502 of 1,023 submissions, 49%

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