2018
DOI: 10.3145/thinkepi.2018.31
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Wikidata y DBpedia: viaje al centro de la web de datos

Abstract: Resumen: 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 ex… Show more

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Cited by 5 publications
(3 citation statements)
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“…Said Fathalla 11 described how investigations in the research field are represented semantically, thus forming a knowledge graph that describes various research questions, methods, and evaluations in a structured and comparable way. Some companies have used knowledge graphs to improve existing products and have developed prominent examples of large-scale knowledge graphs, including DBpedia 12 , Google knowledge graph 13 , Microsoft’s Satori 14 , Freebase, YAGO, and Wikidata 15 . Jayaram and Khan et al 16 established a "Graph Query by Example” system, automatically finds the weighted hidden maximum query graph based on the input query tuple to obtain the user's query intent.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Said Fathalla 11 described how investigations in the research field are represented semantically, thus forming a knowledge graph that describes various research questions, methods, and evaluations in a structured and comparable way. Some companies have used knowledge graphs to improve existing products and have developed prominent examples of large-scale knowledge graphs, including DBpedia 12 , Google knowledge graph 13 , Microsoft’s Satori 14 , Freebase, YAGO, and Wikidata 15 . Jayaram and Khan et al 16 established a "Graph Query by Example” system, automatically finds the weighted hidden maximum query graph based on the input query tuple to obtain the user's query intent.…”
Section: Literature Reviewmentioning
confidence: 99%
“…By using the generated knowledge graph to answer questions about the different contributions covered by the survey, and to evaluate how the query answers meet the reader's information needs compared with letting readers extract the same information from reading survey papers, to demonstrate the utility of the knowledge graph. Some companies have used knowledge graphs to improve existing products and have developed prominent examples of large-scale knowledge graphs, including DBpedia [13], Google knowledge graph [14], Microsoft's Satori [15], Freebase, YAGO, and Wikidata [16]. Jayaram and Khan et al [17] established a "Graph Query by Example" system, automatically finds the weighted hidden maximum query graph based on the input query tuple to obtain the user's query intent.…”
Section: Knowledge Graphmentioning
confidence: 99%
“…Wikidata és una base de dades de coneixement estructurat que es manté de forma col•laborativa i que va ser creada l'any 2012 per la Fundació Wikimedia, amb l'objectiu d'esdevenir en una font de dades comuna per la seva reutilització tant a projectes de Wikimedia com per part d'altres institucions gràcies a la seva llicència d'ús de domini públic (Saorín i Pastor, 2018). Per una altra banda es proposen distints escenaris de treball dins l'àrea de Geografia i Història que es poden desenvolupar tant de manera transversal - Per concloure, afegir que l'anàlisi i la representació de les dades obertes suposa cada vegada més una competència substancial per delimitar la qualitat de la informació que arriba pels canals digitals, i que posar a l'abast de l'alumnat eines que els ajudin a processar-la serà cabdal per a la formació dels ciutadans del segle XXI.…”
Section: Introduccióunclassified