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Onto-Graphic Mechanisms for Deep Semantic Search

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dc.contributor.authorLebedev, A. A.
dc.contributor.authorGavrilkina, A. S.
dc.contributor.authorMaksimov, N. V.
dc.contributor.authorGolitsyna, O. L.
dc.contributor.authorMonankov, K. V.
dc.contributor.authorЛебедев, Александр Анатольевич
dc.contributor.authorГаврилкина, Анастасия Сергеевна
dc.contributor.authorМаксимов, Николай Вениаминович
dc.contributor.authorГолицына, Ольга Леонидовна
dc.date.accessioned2024-12-25T19:33:54Z
dc.date.available2024-12-25T19:33:54Z
dc.date.issued2022
dc.description.abstractIn human-machine document retrieval frameworks focused on information support for main activity cognitive processes, onto-graph-based mechanisms for deep semantic search are discussed. The mechanisms of the application of examples corresponding to users' cognitive states are given on graphs constructed from full texts. The paper gives a comparative evaluation of graph search mechanisms effectiveness in retrieval tasks, as applied to text reading processes.
dc.format.extentС. 163-178
dc.identifier.citationOnto-Graphic Mechanisms for Deep Semantic Search / Lebedev, A. A. [et al.] // AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS. - 2022. - 56. - № 4. - P. 163-178. - 10.3103/S0005105522040057
dc.identifier.doi10.3103/S0005105522040057
dc.identifier.urihttps://www.doi.org/10.3103/S0005105522040057
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000863837900001
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28492
dc.relation.ispartofAUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
dc.titleOnto-Graphic Mechanisms for Deep Semantic Search
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue4
oaire.citation.volume56
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