Abstract

In constructing a knowledge-based system, knowledge acquisition plays a critical role. It is the most time-consuming phase and has been recognized as the bottleneck in the development of a knowledge-based system. This paper describes a matrix representation and mapping (MRM) approach to facilitate the knowledge acquisition process in building the knowledge bases. The MRM approach involves six consecutive steps: knowledge sources identification, taxonomic tree generation, identification of linkages between conditions and conclusions sets, generation of sub-clauses to form IF and THEN clauses, identification of logical interrelationship among sub-clauses and rule generation. The proposed approach has established an integral and complete process for knowledge acquisition.KeywordsKnowledge AcquisitionKnowledge SourceCertainty FactorKnowledge Acquisition ProcessConclusion DomainThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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