Abstract
The role of a Knowledge Representation Language, as Brachman and Levesque described, is to support the explicit encoding of knowledge in a well specified way. Moreover, as they describe, “a representation system must provide access to facts implicit in the knowledge base. In other words, a representation component must perform automatic inferences for its users…”.
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References
G. Abrett, M.H. Burstein, “The KREME knowledge editing environment”, Int.J. Man-Machine Studies 27, pp 103–126.
G. Berg_Gross, M. Price, “Acquiring and Managing Knowledge Using a Conceptual Structures Approach: Introduction and Framework” IEEE Transactions on Systems, Man and Cybernetics, Vol 19, No 3, pp 513–527 (1989)
R.J. Brachman, “What’s in a concept:structural fundations for semantic networks”, Int.J. Man_Machine Studies, 9, pp 127–152 (1977)
R.J. Brachman, H. Levesque, eds “Readings in Knowledge Representation”, Morgan Kaufmann 1985.
B. Chandrasekaran, M. Tanner, J. Josephson, “Explaining Control Strategies in Problem Solving” IEEE Expert, pp 9–24 (1989).
P. Cohen, J. DeLisio, D. Hart, “A Declarative Representation of Control Knowledge”, IEEE Trans. on Systems, Mam and Cybernetics, Vol 19, No 3, pp 546–557 (1989)
R. Fikes, T. Kehler, “The Role of Frame_Based Representation in Reasoning”, Communications of the ACM, Vol 28, No 9, pp 904–920 (1985).
M. Georgeff, A. Lansky, “Procedural Knowledge”, Proceedings of IEEE Vol 74, No 10, pp 1383–1398 (1986)
H. Levesque, J. Mylopoulos, “A Procedural Semantics for Semantic Networks”, Editor N.V. Findler, Associative Networks, Academic Press pp 93–120 (1979).
Lenat, Feighanbaum, “On the thresholds of Knowledge”, Artificial Intelligence, 47, pp 185–250, (1991).
M. Moser, “An overview of NIKL, the new implementation of KL-ONE”, Bolt Benarek and Newman Inc. Report No 4842, pp 233–260.
W.A. Woods, “Important Issues in Knowledge Representation”, Proceedings of the IEEE, Vol 74, No 10, pp 1322–1334 (1986).
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Vouros, G.A., Spyropoulos, C.D. (1991). The Phos Conceptual Language for Knowledge Representation. In: Tzafestas, S.G. (eds) Engineering Systems with Intelligence. Microprocessor-Based and Intelligent Systems Engineering, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2560-4_4
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DOI: https://doi.org/10.1007/978-94-011-2560-4_4
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