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Journal Information-measuring and Control Systems №8 for 2016 г.
Article in number:
Computer modeling of temporal knowledge acquisition for knowledge base development in dynamic integrated expert systems
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 S.S. Parondzhanov - Ph.D. (Eng.), Associate 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 problems of temporal knowledge acquisition for 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. Currently, there are a significant number of approaches to the representation of temporal dependencies in the automatic processing of the of NL-texts, however, in practice, it does not address issues of temporal knowledge acquisition (using manual and automated methods) for the con-struction of temporal knowledge base in dynamic intelligent systems, particularly in dynamic integrated expert systems (IES) [4]. 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 combined method of knowledge acquisition (CMAK) and its temporal version and aspects of its use for the automated construction of knowledge bases of IES. There is also an example of a model dialogue with the expert through the use of base and modified software tools that support CMAK.
Pages: 10-18
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