Semantic Analysis and Natural Language Text Search for Internet Portal

Kovaliuk, Tetiana and Kobets, Nataliya (2019) Semantic Analysis and Natural Language Text Search for Internet Portal CEUR Workshop Proceedings Volume 2362, 2019 3rd International Conference on Computational Linguistics and Intelligent Systems, COLINS 2019; Kharkiv; Ukraine; 18 April 2019 до 19 April 2019, 2362. pp. 277-287. ISSN 1613-0073

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The article is devoted to solving the set of problems related to natural language texts semantic analysis. The following problems are addressed: automation of generating metadata files describing the semantic representation of a web page; semantic network construction for a given set of texts; semantic search execution for a given set of texts using metadata files; and semantic network export to RDF format. The algorithms for knowledge extraction from text, semantic network construction and query execution on a given semantic network are described. The lexico-syntactic patterns method was used as a basis to approach these problems. A specification for describing lexico-syntactic patterns has been developed and a pattern interpreter based on the morphological dictionary of the Ukrainian language has been created as a part of the software implementation of the method. Experimental studies have been carried out for the «classification of living organisms» subject environment set of patterns. Modified Boyer–Moore–Horspool algorithm was used to address the problem of interpreting.

Item Type: Article
Additional Information: URL статті:
Uncontrolled Keywords: metadata file; semantic network; semantic search; lexico-syntactic patterns
Subjects: Це архівна тематика Київського університету імені Бориса Грінченка > Статті у наукометричних базах > Scopus
Divisions: Це архівні підрозділи Київського університету імені Бориса Грінченка > Кафедра комп'ютерних наук і математики
Depositing User: Наталія Михайлівна Кобець
Date Deposited: 24 Jun 2019 07:42
Last Modified: 17 Oct 2019 12:51

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