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Semantic Generalization Means Based on Knowledge Graphs

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dc.contributor.authorMaksimov, N.
dc.contributor.authorGolitsyna, O.
dc.contributor.authorGavrilkina, A.
dc.contributor.authorLebedev, A.
dc.contributor.authorМаксимов, Николай Вениаминович
dc.contributor.authorГолицына, Ольга Леонидовна
dc.contributor.authorГаврилкина, Анастасия Сергеевна
dc.contributor.authorЛебедев, Александр Анатольевич
dc.date.accessioned2024-12-26T10:29:03Z
dc.date.available2024-12-26T10:29:03Z
dc.date.issued2022
dc.description.abstract© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The article proposes approaches to text documents semantic content scaling, presented in a knowledge graph form, in order to reduce a cognitive activity working space. Two scaling types operations on graphs are considered - enlargement as aggregation based on inclusion (part-whole relationship) and generalization based on generic relationships. Examples of declarative means use for the scaling operations implementation - a relationships classification and thesaurus are given.
dc.format.extentС. 261-267
dc.identifier.citationSemantic Generalization Means Based on Knowledge Graphs / Maksimov, N. [et al.] // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 261-267. - 10.1007/978-3-030-96993-6_27
dc.identifier.doi10.1007/978-3-030-96993-6_27
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-96993-6_27
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85127724284&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200027
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28929
dc.relation.ispartofStudies in Computational Intelligence
dc.titleSemantic Generalization Means Based on Knowledge Graphs
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume1032 SCI
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