Systematization and Identification of Semantic Relations in Ontologies for Scientific and Technical Subject Areas


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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.

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N. Maksimov

VINITI (All-Russian Institute of Scientific and Technical Information)

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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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