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Authordc.contributor.authorGonzález, Larry 
Authordc.contributor.authorHogan, Aidan 
Admission datedc.date.accessioned2019-05-31T15:20:03Z
Available datedc.date.available2019-05-31T15:20:03Z
Publication datedc.date.issued2018
Cita de ítemdc.identifier.citationCEUR Workshop Proceedings, Volumen 2100, 2018
Identifierdc.identifier.issn16130073
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169440
Abstractdc.description.abstractAll rights reserved.In this paper, we summarise our results on Modelling Dynamics in Semantic Web Knowledge Graphs published at WWW 2018 where we proposed a novel data-driven schema for graphs and apply it for the use-case of predicting high-level changes in Wikidata.
Lenguagedc.language.isoen
Publisherdc.publisherCEUR-WS
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceCEUR Workshop Proceedings
Keywordsdc.subjectComputer Science (all)
Títulodc.titleA data-driven graph schema
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorjmm
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile