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

  • N. V. MaksimovEmail author
  • A. S. Gavrilkina
  • V. V. Andronova
  • I. A. Tazieva
Text Processing Automation


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.


ontologies text documents semantic relations conceptual framework methods of identifying semantic relations 


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Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  • N. V. Maksimov
    • 1
    Email author
  • A. S. Gavrilkina
    • 2
  • V. V. Andronova
    • 2
  • I. A. Tazieva
    • 2
  1. 1.VINITI (All-Russian Institute of Scientific and Technical Information)Russian Academy of SciencesMoscowRussia
  2. 2.National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)MoscowRussia

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