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dc.date.accessioned 2014-10-10T12:15:57Z
dc.date.available 2014-10-10T12:15:57Z
dc.date.issued 2012-04-16
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/41224
dc.description.abstract DBpedia is the semantic mirror of Wikipedia. DBpedia extracts information from Wikipedia and stores it in a se- mantic knowledge base. This semantic feature allows com- plex semantic queries, which could infer new relations that are missing in Wikipedia. This is an interesting source of knowledge to increase Wikipedia content. But, what is the best way to add these new relations following the Wikipedia conventions? In this paper, we propose a path indexing algorithm (PIA) which takes the resulting set of a DBPedia query and discovers the best representative path in Wikipedia. We evaluate the algorithm with real data sets from DBpedia. en
dc.format.extent 1107-1112 es
dc.language en es
dc.subject Algorithms es
dc.subject path query en
dc.subject experimentation en
dc.subject Wikipedia en
dc.subject BDpedia en
dc.title Improving Wikipedia with DBpedia en
dc.type Objeto de conferencia es
sedici.identifier.uri http://dl.acm.org/citation.cfm?doid=2187980.2188248 es
sedici.identifier.other https://doi.org/10.1145/2187980.2188248
sedici.identifier.isbn 978-1-4503-1230-1 es
sedici.creator.person Torres, Diego es
sedici.creator.person Díaz, Alicia es
sedici.creator.person Molli, Pascal es
sedici.creator.person Skaf-Molli, Hala es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Argentina (CC BY-NC-ND 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
sedici.date.exposure 2012
sedici.relation.event 21st International Conference Companion on World Wide Web (Lyon, 2012) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Argentina (CC BY-NC-ND 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Argentina (CC BY-NC-ND 2.5)