The Knowledge Frontier pp 1–43 Cite as
What Is Knowledge Representation?
- Nick Cercone 3 &
- Gordon McCalla 4
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Part of the book series: Symbolic Computation ((1064))
In this chapter, we overview eight major approaches to knowledge representation: logical representations, semantic networks, procedural representations, logic programming formalisms, frame-based representations, production system architectures, and knowledge representation languages. The fundamentals of each approach are described, and then elaborated upon through illustrative examples chosen from actual systems which employ the approach. Where appropriate, comparisons among the various schemes are drawn. The chapter concludes with a set of general principles which have grown out of the different approaches.
- Knowledge Representation
- Logic Programming
- Semantic Network
- Conjunctive Normal Form
- Internal Form
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Laboratory for Computer and Communications Research, School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada, V5A 1S6
Nick Cercone
Department of Computational Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada, S7N 0W0
Gordon McCalla
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Computing Science Department, Simon Fraser University, V5A 1S6, Burnaby, British Columbia, Canada
Department of Computational Science, University of Saskatchewan, S7N 0W0, Saskatoon, Saskatchewan, Canada
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© 1987 Springer-Verlag New York Inc.
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Cercone, N., McCalla, G. (1987). What Is Knowledge Representation?. In: Cercone, N., McCalla, G. (eds) The Knowledge Frontier. Symbolic Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4792-0_1
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DOI : https://doi.org/10.1007/978-1-4612-4792-0_1
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What Is a Knowledge Representation? Perhaps the most fundamental question about the concept of knowledge representa-tion is, What is it? We believe that the answer is best understood in terms of the five funda-mental roles that it plays. a representation … functions as a surrogate inside the reasoner… Articles 18 AI MAGAZINE
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Knowledge representation involves representing the key concepts and relations between the decision variables in some formal manner, typically within a framework suggested by an expert systems shell. Most representation mechanisms must provide support for three aspects of knowledge—conceptual representation, relational representation, and ...
Knowledge representation is basically the glue that binds much of AI together. but it has its own set of problems. In contrast to conventional database systems. AI systems require a knowledge base with diverse kinds of knowledge.