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Conceptual basis for the unstructured information automated processing in perspective control systems
I. I. Bystrov, V. N. Kozichev, B. V. Tarasov Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
The knowledge-based approach to unstructured information automated processing is considered. This approach is positioned as theoretical basis for the transition from data-processing industry to the industry of knowledge extracted from unstructured texts in natural language processing. The methods for constructing a linguistic and ontological processor and semantic search engine in perspective automated control systems (ACS) have been proposed.
Keywords:
unstructured information; knowledge-oriented approach; NL-text; linguistic and ontological processor; semantic search engine.
Received: 07.09.2016
Citation:
I. I. Bystrov, V. N. Kozichev, B. V. Tarasov, “Conceptual basis for the unstructured information automated processing in perspective control systems”, Sistemy i Sredstva Inform., 26:4 (2016), 162–171
Linking options:
https://www.mathnet.ru/eng/ssi498 https://www.mathnet.ru/eng/ssi/v26/i4/p162
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Abstract page: | 215 | Full-text PDF : | 108 | References: | 35 |
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