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Journal Information-measuring and Control Systems №8 for 2015 г.
Article in number:
Temporal knowledge acquisition peculiarities in dynamic integrated expert systems
Keywords: artificial intelligence integrated expert systems problem-oriented methodology temporal knowledge acquisition natural language processing combined knowledge acquisition method AT-TECHNOLOGY workbench
Authors:
G.V. Rybina - Dr.Sc. (Eng.), Professor, Department of Cybernetics, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute). E-mail: galina@ailab.mephi.ru I.D. Danyakin - Post-Graduate Student, Department of Cybernetics, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute). E-mail: galina@ailab.mephi.ru
Abstract:
Paper addresses the automated construction of temporal knowledge base in dynamic integrated expert systems (IES), the development of which is based on the task-oriented methodology (author G.V. Rybina) and the AT-TECHNOLOGY workbench based on this methodology. Temporal (time-based) information acquisition from different knowledge sources (experts, data bases, natural language texts) is quite a new direction for both creating a dynamic IES and knowledge engineering. Therefore this paper analysis modern approaches to solving this problem, which is based on foreign developments in the Natural Language Processing and temporal information extraction. Main attention is paid to the features of representation and processing of temporal knowledge, implemented under task-oriented methodology of creating an IES, and description of the model of local and distributed versions of the combined method of knowledge acquisition (KMPZ) and aspects of its use for the automated construction of knowledge bases of IES. The prospects of modernization of KMPZ for the construction of temporal knowledge base in dynamic IES are analysed.
Pages: 3-14
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