Open AccessIdentification of semantic objects in information stream
Author(s) -
Y. M. Vishnyakov,
Renat Vishnyakov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1902/1/012104
Subject(s) - computer science , identification (biology) , semantics (computer science) , representation (politics) , natural language processing , feature (linguistics) , interpretation (philosophy) , semantic interpretation , artificial intelligence , semantic property , semantic computing , information retrieval , linguistics , semantic web , programming language , philosophy , botany , politics , political science , law , biology
This work formulates and describes a formal approach to the identification of semantic objects in text streams. The reasoning is based on the theoretical provisions of the computational theory of semantic interpretation in terms of the computational representation of the semantics of text fragments and their comparison for semantic proximity. The proposed approach makes it possible to reveal the semantic traces of objects in text streams and to carry out their identification using them. A characteristic feature of the proposed approach is its use for identification of the grammatical structure of texts. We provide illustration for the given examples.