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Approaches to measure class importance in Knowledge Graphs

dc.contributor.authorFernández Álvarez, Daniel 
dc.contributor.authorFrey, J.
dc.contributor.authorLabra Gayo, José Emilio 
dc.contributor.authorGayo Avello, Daniel 
dc.contributor.authorHellmann, S.
dc.date.accessioned2021-11-18T12:24:34Z
dc.date.available2021-11-18T12:24:34Z
dc.date.issued2021
dc.identifier.citationPLoS ONE, 16(6) (2021); doi:10.1371/journal.pone.0252862
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10651/61206
dc.description.sponsorshipThis work is supported by the Severo Ochoa Research program (2017 call, exp. number BP17-88), and by the Spanish Ministry of Economy and Competitiveness 302 (Society challenges: TIN2017-88877-R).
dc.language.isoeng
dc.relation.ispartofPLoS ONE
dc.rights© 2021 Fernaández Álvarez et al.
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107641486&doi=10.1371%2fjournal.pone.0252862&partnerID=40&md5=2c8ea50f2368c3802c00f7935d280990
dc.titleApproaches to measure class importance in Knowledge Graphs
dc.typejournal article
dc.identifier.doi10.1371/journal.pone.0252862
dc.relation.projectIDSevero Ochoa/BP17-88
dc.relation.projectIDMINECO/TIN2017-88877-R
dc.relation.publisherversionhttp://dx.doi.org/10.1371/journal.pone.0252862
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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