Article

Engineering knowledge

Authors:

Shauntrelle D. Davis,

Tia B. WaltonAuthors Info & Claims

ACMSE '04: Proceedings of the 42nd annual ACM Southeast Conference

Pages 406 - 407

https://doi.org/10.1145/986537.986636

Published: 02 April 2004 Publication History

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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.

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[2]

Maedche, A., Ontology Learning for the Semantic Web, Kluwer Academic Publishers: Norwell, MA, 2002.

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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.

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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.

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Smith, R., and Farquhar, A. The Road Ahead for Knowledge Management: An AI Perspective. AI Magazine 21, 4, (2000) 17--40.

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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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Index Terms

Engineering knowledge
1. Applied computing
  1. Computers in other domains

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Published In

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
The University of Alabama in Huntsville, Huntsville, AL
,
Program Chair:
Letha Hughes Etzkorn
The University of Alabama in Huntsville, Huntsville, AL

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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ACM SE04

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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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Abstract

References

Index Terms

Recommendations

To Facilitate Knowledge Management Using Basic Principles of Knowledge Engineering

Basic Theory System of Knowledge Engineering in Product Design Domain

Third International Workshop on Knowledge-Oriented Product Line Engineering (KOPLE 2012)

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