Generating structured Profiles of Linked Data Graphs (Contributo in atti di convegno)

Type
Label
  • Generating structured Profiles of Linked Data Graphs (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Besnik Fetahu Stefan Dietze Bernardo Pereira Nunes Davide Taibi Marco Antonio Casanova (2013)
    Generating structured Profiles of Linked Data Graphs
    in The 12th International Semantic Web Conference, Sydney, Australia, 21-25 October 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Besnik Fetahu Stefan Dietze Bernardo Pereira Nunes Davide Taibi Marco Antonio Casanova (literal)
Pagina inizio
  • 113 (literal)
Pagina fine
  • 116 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ceur-ws.org/Vol-1035/iswc2013_demo_29.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the ISWC 2013 Posters & Demonstrations Track (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 1035 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • L3S Research Center, Leibniz University Hanover, Germany L3S Research Center, Leibniz University Hanover, Germany Department of Informatics - PUC-Rio - Rio de Janeiro, RJ - Brazil Italian National Research Council, Institute for Educational Technologies, Italy Department of Informatics - PUC-Rio - Rio de Janeiro, RJ - Brazil (literal)
Titolo
  • Generating structured Profiles of Linked Data Graphs (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Eva Blomqvist, Tudor Groza (literal)
Abstract
  • While there exists an increasingly large number of Linked Data, metadata about the content covered by individual datasets is sparse. In this paper, we introduce a processing pipeline to automatically assess, annotate and index available linked datasets. Given a minimal description of a dataset from the DataHub, the process produces a structured RDF-based description that includes information about its main topics. Additionally, the generated descriptions embed datasets into an interlinked graph of datasets based on shared topic vocabularies. We adopt and integrate techniques for Named Entity Recognition and auto- mated data validation, providing a consistent work ow for dataset profiling and annotation. Finally, we validate the results obtained with our tool. (literal)
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