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Authordc.contributor.authorFerrada, Sebastián 
Authordc.contributor.authorBustos, Benjamín 
Authordc.contributor.authorHogan, Aidan 
Admission datedc.date.accessioned2019-05-29T13:39:20Z
Available datedc.date.available2019-05-29T13:39:20Z
Publication datedc.date.issued2017
Cita de ítemdc.identifier.citationCEUR Workshop Proceedings, Volumen 1963, 2017
Identifierdc.identifier.issn16130073
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169056
Abstractdc.description.abstractIMGpedia is a linked dataset that provides a public SPARQL endpoint where users can answer queries that combine the visual similarity of images from Wikimedia Commons and semantic information from existing knowledge-bases. Our demo will show example queries that capture the potential of the current data stored in IMGpedia. We also plan to discuss potential use-cases for the dataset and ways in which we can improve the quality of the information it captures and the expressiveness of its queries.
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.titleAnswering visuo-semantic queries with IMGpedia
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