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On One Approach to the Extraction of Entity and Relationships Names in the Task of Building a Semantic Search Image

On One Approach to the Extraction of Entity and Relationships Names in the Task of Building a... Methods and tools for identifying names of entities and relationships based on lexical and syntactic templates are considered in the framework of the task of semantic indexing of document texts. The content of the text is considered as a set of elementary facts represented by triplets, including the names of entities and relationships. Relations are divided into immanent, situational, and structural–linguistic. A taxonomy of relations is used to typify situational relations, whose classes include linguistic constructions. Immanent relations are formed on the basis of a network of concepts (thesaurus). A taxonomy of properties and units of measurement is used to identify the properties of entities. The proposed approach allows one to use the names of entities and the names of relationships, as well as elementary facts and complete semantic constructions made up of them, as a search query. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

On One Approach to the Extraction of Entity and Relationships Names in the Task of Building a Semantic Search Image

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Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2021. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2021, Vol. 55, No. 2, pp. 54–62. © Allerton Press, Inc., 2021. Russian Text © The Author(s), 2021, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2021, No. 3, pp. 17–26.
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/s0005105521020023
Publisher site
See Article on Publisher Site

Abstract

Methods and tools for identifying names of entities and relationships based on lexical and syntactic templates are considered in the framework of the task of semantic indexing of document texts. The content of the text is considered as a set of elementary facts represented by triplets, including the names of entities and relationships. Relations are divided into immanent, situational, and structural–linguistic. A taxonomy of relations is used to typify situational relations, whose classes include linguistic constructions. Immanent relations are formed on the basis of a network of concepts (thesaurus). A taxonomy of properties and units of measurement is used to identify the properties of entities. The proposed approach allows one to use the names of entities and the names of relationships, as well as elementary facts and complete semantic constructions made up of them, as a search query.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Jul 12, 2021

Keywords: semantic information retrieval; text processing; ontologies; semantic relations; conceptual framework; method of identification of semantic relations

References