Building a well-formalized conceptual semantic network based on scientific and technical texts | Zendy

Anastasia Gavrilkina | Zendy; O. L. Golitsyna | Zendy; N. V. Maksimov | Zendy

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Building a well-formalized conceptual semantic network based on scientific and technical texts

Author(s) -

Anastasia Gavrilkina,

O. L. Golitsyna,

N. V. Maksimov

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.11.042

Subject(s) - computer science , situational ethics , ontology , taxonomy (biology) , task (project management) , semantic network , natural language processing , information retrieval , artificial intelligence , epistemology , philosophy , botany , management , economics , biology

This paper presents a method for automatic constructing a conceptual semantic network (Task ontology) based on texts of documents. Ontology is considered as metagraph that is reflecting immanent and situational relations. Verbose constructs, which corresponds to concepts and relationships, are extracted from texts by analyzing the linguistic characteristics of words and the templates of typical constructions. Linguistic constructions of situational links are identified by relations taxonomy.

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