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The 'intellectual network': linking writers in the data.bnf.fr project

Published:03 June 2013Publication History

ABSTRACT

This paper describes one of the specific functionalities of the data.bnf.fr library discovery service: the use of semantic Web technologies to create Web pages around "named entities" from the authority files.

References

  1. Bibliothèque nationale de France, BnF, http://www.bnf.frGoogle ScholarGoogle Scholar
  2. http://www.bnf.fr/fr/professionnels/autorites_bnf/s.autorite_bnf_presentation_statistiques.html?first_Art=oui#SHDC__Attribute_BlocArticle2BnFGoogle ScholarGoogle Scholar
  3. http://catalogue.bnf.frGoogle ScholarGoogle Scholar
  4. http://data.bnf.fr/11927291/mark_twain/Google ScholarGoogle Scholar
  5. http://data.bnf.fr/12008369/jean_de_la_fontaine_fables/Google ScholarGoogle Scholar
  6. http://data.bnf.fr/semanticweb-enGoogle ScholarGoogle Scholar
  7. http://data.bnf.fr/11886243/erasme/#other-pages-databnfGoogle ScholarGoogle Scholar
  8. http://socialarchive.iath.virginia.edu/Google ScholarGoogle Scholar
  9. http://viaf.orgGoogle ScholarGoogle Scholar
  10. http://archivesetmanuscrits.bnf.frGoogle ScholarGoogle Scholar
  11. http://gallica.bnf.frGoogle ScholarGoogle Scholar

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  1. The 'intellectual network': linking writers in the data.bnf.fr project

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        • Published in

          cover image ACM Other conferences
          WOD '13: Proceedings of the 2nd International Workshop on Open Data
          June 2013
          42 pages
          ISBN:9781450320207
          DOI:10.1145/2500410

          Copyright © 2013 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 3 June 2013

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          • research-article

          Acceptance Rates

          WOD '13 Paper Acceptance Rate3of13submissions,23%Overall Acceptance Rate3of13submissions,23%
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