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Knowledge representation language

Baader F. A formal definition for expressive power of knowledge representation languages. In Proceedings of the 9th European Conference on Artificial Intelligence, ECAI-90, Stockholm, Sweden, 1990, p. 53-58. [Pg.752]

MacGregor, R. and Bates, R., The LOOM Knowledge Representation Language, Tech. Report RS-87-188, Information Sciences Institute, University of Southern California, Los Angeles, CA, 1987. [Pg.59]

Knowledge machine (KM) is a frame-based knowledge representation langnage similar to KRL and other KL-ONE representation languages such as Loom and CLASSIC [13-15], In KM, a frame denotes either a class (i.e., type) or an instance (i.e., individual). Frames have slots, or binary predicates, in which the fillers are axioms about the slot s value. These axioms have both declarative and procedural semantics, allowing for procedural inference. [Pg.51]

Abstract. This article describes our current work on the combination of an ontology-based knowledge representation and formal analysis procedures. We use formalized system engineering knowledge and partial architectural information (induced by a set of requirements) to formalize natural language requirements and to identify inconsistencies based on this formahzation. Our analysis combines requirements specified by patterns and an ontology-based product breakdown structure. As an example, we identify inconsistencies between Mean Time Between Failure (MTBF) specifications of systems and their subsystems. [Pg.108]

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See also in sourсe #XX -- [ Pg.49 ]



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