Representation of knowledge using different structures of concepts

Dmitry Palchunov, Gulnara Yakhyaeva

Research output: Contribution to journalConference articlepeer-review


The paper is devoted to the problem of knowledge representation using concepts of different levels of generality. Model-theoretical methods are being developed for translating data and knowledge presented in the language of low-level concepts into knowledge presented using concepts of a high level of generality. The formalization of knowledge is carried out in the terms of FCA, which allows us to move from low-level concepts to more general concepts and, as a result, generate new, more general knowledge about the domain.

Original languageEnglish
Pages (from-to)69-74
Number of pages6
JournalCEUR Workshop Proceedings
Publication statusPublished - 2020
Event8th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2020 - Santiago de Compostela, Spain
Duration: 29 Aug 2019 → …


  • Booleanvalued model
  • Fca
  • Knowledge representation
  • Precedent model
  • Semantic domain model


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