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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2020 Volume 14, Issue 1, Pages 128–135 (Mi ia654)

This article is cited in 2 papers

Information fusion of documents

S. K. Dulina, N. G. Dulinab, P. V. Ermakovc

a 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
b A. A. Dorodnicyn Computing Center, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 40 Vavilov Str., Moscow 119333, Russian Federation
c TeleRetail GmbH, 30 Markenstraße, Düsseldorf 40227, Germany

Abstract: The paper considers the problems associated with the creation of an expert base of documents that require prompt processing of incoming information and, as a consequence, restructuring of the knowledge base. The authors propose procedures that reduce the search of the optimal consistent state of interrelated documents. An approach to assessing the relationship of text documents and informational messages as poorly structured objects was developed. The practical implementation of this approach is described.

Keywords: information fusion, controlled data and knowledge consistency, knowledge base restructuring.

Received: 26.02.2019

Language: English

DOI: 10.14357/19922264200117



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