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  • × author_ss:"Auer, S."
  • × type_ss:"el"
  1. Auer, S.; Bizer, C.; Kobilarov, G.; Lehmann, J.; Cyganiak, R.; Ives, Z.: DBpedia: a nucleus for a Web of open data (2007) 0.00 
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    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 machineconsumption. 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.
    Source
    ¬The Semantic Web : 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007 : proceedings. Ed.: Karl Aberer et al
    Theme
    Semantic Web
  2. Auer, S.; Lehmann, J.: Making the Web a data washing machine : creating knowledge out of interlinked data (2010) 0.00 
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    Abstract
    Over the past 3 years, the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of the Semantic Web vision: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on theWeb have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. In this vision statement we discuss these challenges and argue, that research approaches tackling these challenges should be integrated into a mutual refinement cycle. We also present two crucial use-cases for the widespread adoption of linked data.
    Content
    Vgl.: http://www.semantic-web-journal.net/content/new-submission-making-web-data-washing-machine-creating-knowledge-out-interlinked-data http://www.semantic-web-journal.net/sites/default/files/swj24_0.pdf.
    Source
    Semantic Web journal. 0(2010), no.1
    Theme
    Semantic Web
  3. Auer, S.; Lehmann, J.: What have Innsbruck and Leipzig in common? : extracting semantics from Wiki content (2007) 0.00 
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    Theme
    Semantic Web

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