Systematization and Identification of Semantic Relations in Ontologies for Scientific and Technical Subject Areas
- 作者: Maksimov N.V.1, Gavrilkina A.S.2, Andronova V.V.2, Tazieva I.A.2
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隶属关系:
- VINITI (All-Russian Institute of Scientific and Technical Information)
- National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
- 期: 卷 52, 编号 6 (2018)
- 页面: 306-317
- 栏目: Text Processing Automation
- URL: https://journals.rcsi.science/0005-1055/article/view/150271
- DOI: https://doi.org/10.3103/S000510551806002X
- ID: 150271
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详细
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.
作者简介
N. Maksimov
VINITI (All-Russian Institute of Scientific and Technical Information)
编辑信件的主要联系方式.
Email: nv-maks@yandex.ru
俄罗斯联邦, Moscow, 125190
A. Gavrilkina
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
俄罗斯联邦, Moscow, 115409
V. Andronova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
俄罗斯联邦, Moscow, 115409
I. Tazieva
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: nv-maks@yandex.ru
俄罗斯联邦, Moscow, 115409
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