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DBpedia: A Nucleus for a Web of Open Data

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 4825)

Abstract

DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the extraction of the DBpedia datasets, and how the resulting information is published on the Web for human- and machine-consumption. We describe some emerging applications from the DBpedia community and show how website authors can facilitate DBpedia content within their sites. Finally, we present the current status of interlinking DBpedia with other open datasets on the Web and outline how DBpedia could serve as a nucleus for an emerging Web of open data.

Keywords

  • Triple Pattern
  • SPARQL Endpoint
  • Open Dataset
  • Sophisticated Query
  • Relational Database Table

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z. (2007). DBpedia: A Nucleus for a Web of Open Data. In: , et al. The Semantic Web. ISWC ASWC 2007 2007. Lecture Notes in Computer Science, vol 4825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76298-0_52

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  • DOI: https://doi.org/10.1007/978-3-540-76298-0_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76297-3

  • Online ISBN: 978-3-540-76298-0

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