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Selection of experts for scientific and technical expertise based on semantic search

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dc.contributor.authorNemeshaev, S.
dc.contributor.authorBarykin, L.
dc.contributor.authorDadteev, K.
dc.contributor.authorНемешаев, Сергей Александрович
dc.contributor.authorДадтеев, Казбек Маирбекович
dc.date.accessioned2024-11-29T18:56:51Z
dc.date.available2024-11-29T18:56:51Z
dc.date.issued2021
dc.description.abstract© 2020 Elsevier B.V.. All rights reserved.This article discusses the possibility of using semantic search to solve the problem of appointing an expert in automation systems for the management of scientific and technical expertise. The characteristics of tag search and the problems that arise when using it are given, which is followed by a description of the domain ontology and the semantic search algorithm. The main problems to be dealt with during the implementation of this approach are also indicated. After that, the results achieved with the use of semantic search are examined. In the conclusion, we discuss the direction of the further development of the algorithm within the framework of the information system and its expediency.
dc.format.extentС. 643-646
dc.identifier.citationNemeshaev, S. Selection of experts for scientific and technical expertise based on semantic search / Nemeshaev, S., Barykin, L., Dadteev, K. // Procedia Computer Science. - 2021. - 190. - P. 643-646. - 10.1016/j.procs.2021.06.102
dc.identifier.doi10.1016/j.procs.2021.06.102
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2021.06.102
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85112643921&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24523
dc.relation.ispartofProcedia Computer Science
dc.titleSelection of experts for scientific and technical expertise based on semantic search
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume190
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relation.isAuthorOfPublication849ff92d-a7bb-470b-9b9e-ac7c8850b51e
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