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


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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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