Exploring type-specific topic profiles of datasets: a demo for educational linked data (Abstract/Poster in atti di convegno)

Type
Label
  • Exploring type-specific topic profiles of datasets: a demo for educational linked data (Abstract/Poster in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Taibi Davide, Stefan Dietze, Besnik Fetahu, Giovanni Fulantelli (2014)
    Exploring type-specific topic profiles of datasets: a demo for educational linked data
    in 13th International Semantic Web Conference, ISWC 2014, Riva del Garda, Italy, Riva del Garda, October 19-23, 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Taibi Davide, Stefan Dietze, Besnik Fetahu, Giovanni Fulantelli (literal)
Pagina inizio
  • 353 (literal)
Pagina fine
  • 356 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ceur-ws.org/Vol-1272/paper_93.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, ISWC 2014, Riva del Garda, Italy, October 21, 2014. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • Vol-1272 (literal)
Note
  • Google Scholar (literal)
  • Poster (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto per le Tecnologie Didattiche, Consiglio Nazionale delle Ricerche, Palermo, Italy L3S Research Center, Hannover, Germany (literal)
Titolo
  • Exploring type-specific topic profiles of datasets: a demo for educational linked data (literal)
Abstract
  • This demo presents the dataset profile explorer which provides a resource type-specific view on categories associated with available datasets in the Linked Data cloud, in particular the ones of educational relevance. Our work utilises type mappings with dataset topic profiles to provide a type-specific view on datasets and their categorisation with respect to topics, i.e. DBpedia categories. Categories associated with each dataset are shown in an interactive graph, generated for the specific profiles only, allowing for more representative and meaning-ful classification and exploration of datasets. (literal)
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