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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/30374
Title: Hybrid approach to knowledge extraction: textual analysis and evaluations of experts
Authors: Kobrinskii, B. A.
Blagosklonov, N. A.
Keywords: материалы конференций;knowledge extraction;textological analysis;textological card;certainty factor;cognitive science world model;expert world model
Issue Date: 2018
Publisher: БГУИР
Citation: Kobrinskii, B. A. Hybrid approach to knowledge extraction: textual analysis and evaluations of experts / B. A. Kobrinskii, N. A. Blagosklonov // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 191 - 194.
Abstract: The problem of extracting knowledge from medical experts for rare diseases causes difficulties due to the need to involve additional information about the clinical manifestations in this pathology. The report will consider a complex two-stage system of knowledge extraction. First, from literary sources using textological analysis. Then an expert evaluation of the information extracted from the literature with the addition of certainty factors.
URI: https://libeldoc.bsuir.by/handle/123456789/30374
Appears in Collections:OSTIS-2018

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