KNOWLEDGE ENGINEERING

PHILIP ADEBO

Abstract


Knowledge engineering is a discipline within artificial intelligence that emulates the behavior and decision-making capability of a human expert. It is the process of developing knowledge-based systems in any area.  It has become a major technique for information integration. This paper provides a brief introduction to knowledge engineering.


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References


S.L. Kendal and M. Creen, An Introduction to Knowledge Engineering. London:

Springer-Verlag, 2007, p. 7.

J. Frankenfield, “Knowledge engineering,” March, 2018

https://www.investopedia.com/terms/k/knowledge-engineering.asp

S. B. Pengetahuan, “Introduction to knowledge engineering,” unknown source.

E. A. Feigenbaum, “Knowledge engineering: The applied side of artificial intelligence,”

https://stacks.stanford.edu/file/druid:cn981xh0967/cn981xh0967.pdf

D. S. Darai, S. Singh, and S. Biswas, “Knowledge engineering-an overview,”

International Journal of Computer Science and Information Technologies, vol. 1. No. 4, 2010, pp. 230-234.

S. K. Chg (ed.), Handbook of Software Engineering and Knowledge Engineering. London: World Scientific, 2001.

A. D. Nola et al., Fuzzy Relation Equations and their Applications to Knowledge Engineering. Springer-Science, 1989.

N. K. Kasabov, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering. Cambridge, MA: The MIT Press, 1996.

J. Liebowitz, Knowledge Management: Learning from Knowledge Engineering.

Boca Raton, FL: CRC Press, 2001.




DOI: https://doi.org/10.23956/ijarcsse.v9i3.932

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