Systematization and Identification of Semantic Relations in Ontologies for Scientific and Technical Subject Areas
- Авторы: Maksimov N.V.1, Gavrilkina A.S.2, Andronova V.V.2, Tazieva I.A.2
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Учреждения:
- VINITI (All-Russian Institute of Scientific and Technical Information)
- National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
- Выпуск: Том 52, № 6 (2018)
- Страницы: 306-317
- Раздел: Text Processing Automation
- URL: https://journal-vniispk.ru/0005-1055/article/view/150271
- DOI: https://doi.org/10.3103/S000510551806002X
- ID: 150271
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Аннотация
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.
Об авторах
N. Maksimov
VINITI (All-Russian Institute of Scientific and Technical Information)
Автор, ответственный за переписку.
Email: nv-maks@yandex.ru
Россия, Moscow, 125190
A. Gavrilkina
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
Россия, Moscow, 115409
V. Andronova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
Россия, Moscow, 115409
I. Tazieva
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
Россия, Moscow, 115409
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