METHOD FOR SYNTHESIS OF SELF-TEACHING SYSTEM FOR EXTRACTING KNOWLEDGE FROM TEXT DOCUMENTS FOR SEARCH ENGINES Russian patent published in 2006 - IPC G06F17/30 G09B19/00 

Abstract RU 2273879 C2

FIELD: computer science, information-searching and intellectual systems engineering.

SUBSTANCE: result is achieved due to realization of self-teaching mechanism in form of stochastically indexed artificial intelligence system; morphological and syntax analysis is performed, and also stochastic indexing of text documents on given topic for forming semantic analysis databases; user request is transformed in stochastically integrated form to multiple new requests equivalent to source request, and selection of stochastically indexed text document fragments is performed with all word combinations of transformed request, of which stochastically indexed semantic structure is formed, short response of system on basis of structure is formed and relevance of short system response to query is checked by means of their comparison.

EFFECT: possible automatic forming of knowledge by extracting them from text documents represented in digital form at different languages, and possible intellectual processing of text information and user requests to extract knowledge on any foreign language.

2 cl, 1 dwg, 3 tbl

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RU 2 273 879 C2

Authors

Nasypnyj Vladimir Vladimirovich

Nasypnaja Galina Anatol'Evna

Dates

2006-04-10Published

2002-05-28Filed