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  5. Binary logical net for knowledge extraction from unstructured text informationflusses

Binary logical net for knowledge extraction from unstructured text informationflusses

N.F. Khairova
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It is formulated tasks of knowledge retrieval for corporative information system knowledge base completion. It is suggested to use mathematical techniques of intelligence theory and computer linguistics to increase semantic power of knowledge representation models. It is developed mathematical model for relations between manager local research area true deep knowledge given in the document. It is carried out graphical realization for predicate of manager knowledge area personification as logic network.
Keywords: binary logic network, corporative knowledge, finite predicate algebra, general information area, company intelligence potential, pre-linguistic text analysis