Representation of knowledge using different structures of concepts

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Representation of knowledge using different structures of concepts. / Palchunov, Dmitry; Yakhyaeva, Gulnara.

в: CEUR Workshop Proceedings, Том 2729, 2020, стр. 69-74.

Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование

Author

Palchunov, Dmitry ; Yakhyaeva, Gulnara. / Representation of knowledge using different structures of concepts. в: CEUR Workshop Proceedings. 2020 ; Том 2729. стр. 69-74.

BibTeX

@article{8b9db4372da44d60803a626535ed934a,

title = "Representation of knowledge using different structures of concepts",

abstract = "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. ",

keywords = "Booleanvalued model, Fca, Knowledge representation, Precedent model, Semantic domain model",

author = "Dmitry Palchunov and Gulnara Yakhyaeva",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 8th International Workshop {"}What can FCA do for Artificial Intelligence?{"}, FCA4AI 2020 ; Conference date: 29-08-2019",

year = "2020",

language = "English",

volume = "2729",

pages = "69--74",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

RIS

TY - JOUR

T1 - Representation of knowledge using different structures of concepts

AU - Palchunov, Dmitry

AU - Yakhyaeva, Gulnara

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Booleanvalued model

KW - Fca

KW - Knowledge representation

KW - Precedent model

KW - Semantic domain model

UR - http://www.scopus.com/inward/record.url?scp=85096101527&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85096101527

VL - 2729

SP - 69

EP - 74

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 8th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2020

Y2 - 29 August 2019

ER -

ID: 26028496