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

  • Text Processing Automation
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Automatic Documentation and Mathematical Linguistics Aims and scope

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.

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Authors and Affiliations

  1. VINITI (All-Russian Institute of Scientific and Technical Information), Russian Academy of Sciences, Moscow, 125190, Russia

    N. V. Maksimov

  2. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, 115409, Russia

    A. S. Gavrilkina, V. V. Andronova & I. A. Tazieva

Authors
  1. N. V. Maksimov
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  2. A. S. Gavrilkina
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  3. V. V. Andronova
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  4. I. A. Tazieva
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Corresponding author

Correspondence to N. V. Maksimov.

Additional information

Original Russian Text © N.V. Maksimov, A.S. Gavrilkina, V.V. Andronova, I.A. Tazieva, 2018, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2018, No. 11, pp. 32–42.

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Maksimov, N.V., Gavrilkina, A.S., Andronova, V.V. et al. Systematization and Identification of Semantic Relations in Ontologies for Scientific and Technical Subject Areas. Autom. Doc. Math. Linguist. 52, 306–317 (2018). https://doi.org/10.3103/S000510551806002X

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  • DOI: https://doi.org/10.3103/S000510551806002X

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