Intelligence knowledge-based system based on multilingual dictionaries

Abstract

Intelligence knowledge-based systems are important part of natural language processing researches. Appropriate formal models simplify developing of such systems and open new ways to improve their quality. This work is devoted to developing of intelligence knowledge-based system using model based on algebra of finite predicates. The model also isbased on lexicographical computer system which consists of trilingual and explanatory dictionaries. Algebra of finite predicates is used as formalization tool.Problems of distinguishing semantic entities is investigated during research. Method of resolving homonymy ambiguities is used to extract separate entities, thus allowing formalization of semantic relationships. In result formal model of intelligence knowledge-based system was developed.It was shown way to extend the model for different languages.

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Keywords

Natural Language Processing, Intelligence Knowledge-based Systems, Algebra of Finite Predicates, AFP, Lexicographical System

Citation

Puzik O. Intelligence knowledge-based system based on multilingual dictionaries / Oleksii Puzik // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 39–44. — (Paper presentations).

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