Systematization and Identification of Semantic Relations in Ontologies for Scientific and Technical Subject Areas
- Authors: Maksimov N.V.1, Gavrilkina A.S.2, Andronova V.V.2, Tazieva I.A.2
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Affiliations:
- VINITI (All-Russian Institute of Scientific and Technical Information)
- National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
- Issue: Vol 52, No 6 (2018)
- Pages: 306-317
- Section: Text Processing Automation
- URL: https://journal-vniispk.ru/0005-1055/article/view/150271
- DOI: https://doi.org/10.3103/S000510551806002X
- ID: 150271
Cite item
Abstract
This article presents a relations taxonomy constructed on the basis of a conceptual framework, as well as methods of identifying semantic relations that are used for automatically constructing ontologies of subject areas. A predicate lexicon that corresponds to relation types is established through automatically processing a collection of scientific and technical document texts. Patterns of linguistic constructions of semantic relations are constructed in a way that considers morphological features of words and morphemes. Statistics of types of relations and the use of patterns depending on the document type are studied.
About the authors
N. V. Maksimov
VINITI (All-Russian Institute of Scientific and Technical Information)
Author for correspondence.
Email: nv-maks@yandex.ru
Russian Federation, Moscow, 125190
A. S. Gavrilkina
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
Russian Federation, Moscow, 115409
V. V. Andronova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
Russian Federation, Moscow, 115409
I. A. Tazieva
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
Russian Federation, Moscow, 115409
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