Publication: Wikidata y DBpedia: viaje al centro de la web de datos
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Date
2018-04-26
Authors
Pastor Sánchez, Juan Antonio ; Saorín Pérez, Tomás
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Publisher
EPI SCP
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Description
© 2018. This document is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
This document is the submitted/accepted/ published version of a published Work that appeared in final form in
Anuario ThinkEPI. To access the final edited and published work see
https://doi.org/10.3145/thinkepi.2018.31
Abstract
A partir de Wikipedia, como fuente de conocimiento organizado en forma de artículos enciclopédicos, editada mediante la colaboración masiva online, se han desarrollado dos proyectos de carácter semántico: DBpedia y Wikidata. Se analizan las diferencias y similitudes entre ambos modelos de datos y modelo de producción, y se especula sobre la posible evolución y coexistencia de ambos a partir de sus puntos fuertes. Su fortaleza como grafo abierto de conocimiento multidominio aporta un gran valor a la extensión de la web de datos, al actuar como punto de interconexión entre diferentes dominio
DBpedia y Wikidata are two semantic projects built on the top of Wikipedia encyclopedic content that has been crowdsourced, created, and maintained by thriving online communities. This article outlines differences and similarities between these two projects, pointing out their data models, curation patterns, and technologies. In addition, it forecasts some possible trends for their co-evolution as crossdomain open knowledge graphs and their significant value as hubs of interlinking datasets of various domains.
DBpedia y Wikidata are two semantic projects built on the top of Wikipedia encyclopedic content that has been crowdsourced, created, and maintained by thriving online communities. This article outlines differences and similarities between these two projects, pointing out their data models, curation patterns, and technologies. In addition, it forecasts some possible trends for their co-evolution as crossdomain open knowledge graphs and their significant value as hubs of interlinking datasets of various domains.
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