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Title: Semantic classification of actions for knowledge inference
Other Titles: Семантическая классификация действий для вывода знаний
Authors: Boyko, I. M.
Keywords: материалы конференций;Universal Semantic Code;verb;action;axiom;knowledge inference;classifier;semantic string;natural language;Универсальный Семантический Код;вывод знаний;семантическая классификация
Issue Date: 2016
Publisher: БГУИР
Citation: Boyko, I. M. Semantic classification of actions for knowledge inference / I. Boyko // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2016) : материалы VI междунар. науч.-техн. конф. (Минск, 18 - 20 февраля 2016 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2016. – С. 115 - 124.
Abstract: This paper proposes further development of Universal Semantic Code (USC). The notion of an action, represented by a verb, has been considered as a main component for knowledge inference. USC represents actions trough semantic strings and operates with semantic axioms to convert the strings to each other. That means the actions may be inferred from each other providing knowledge inference. In the example, semantic inference of actions applied to the text of the patent for revealing knowledge not included in the text and for reproducing full description of the inventive solution claimed in the patent.
Alternative abstract: Статья показывает дальнейшее развития Универсального Семантического Кода, как инструмента для вывода знаний.
Appears in Collections:OSTIS-2016

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