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Aerospace Instrument-Making

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THE COMBINED METHOD OF KNOWLEDGE ACQUISITION FOR INTEGRATED EXPERT SYSTEMS’ KNOWLEDGE BASES CONSTRUCTION
G.V. Rybina

A short analisys of the main practical problems of modern knowledge acquisition methods from different knowledge sources (experts, natural language texts, data-bases) is described in the paper. The topicality of universal methods and technol-ogies for knowledge acquisition from knowledge sources with different typologies creation is stressed. A general description and the model of the combined knowledge acquisition method (CKAM) are considered. A method of the direct knowledge extraction from experts is described. A model and method of the adap-tive repertoty grids using to identify differentiating features at the stage of inter-viewing experts and knowledge verification are adduced. A formal description of knowledge field model and knowledge field / knowledge base verification models and methods are presented. The models and methods of uncertain knowledge (knowledge with uncertainty, inaccuracy, fuzziness) representation and pro-cessing are considered. The linguistic basis of the CKAM is described: specification of the CKAM components and their brief description are presented, principles of system analyst's vocabulary analisys are considered. Key words: knowledge acquisition, interviewing of experts, verifications of knowledge, a field of knowledge, doubtful knowledge, processing of knowledge, an entrance sublanguage, the lexicon analysis, processing of natural language texts.

Contacts: E-mail: galina@ailab.mephi.ru

Pp. 23-53.

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