Can entities be friends? (Contributo in atti di convegno)

Type
Label
  • Can entities be friends? (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Pereira Nunes B., Kawase R., Dietze S., Taibi D., Casanova M. A., Nejdl W. (2012)
    Can entities be friends?
    in Web of Linked Entities, Workshop at The 11th International Semantic Web Conference (ISWC2012), Boston, 11 novembre 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pereira Nunes B., Kawase R., Dietze S., Taibi D., Casanova M. A., Nejdl W. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ceur-ws.org/Vol-906/paper6.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Web of Linked Entities 2012 - Proceedings of the Web of Linked Entities Workshop (WoLE 2012), Boston, USA, November 11, 2012. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • Vol-906 (literal)
Note
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Department of Informatics - PUC-Rio - Rio de Janeiro - Brazil L3S Research Center, Leibniz University, Hanover, Germany CNR-ITD, Palermo, Italy (literal)
Titolo
  • Can entities be friends? (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
  • Giuseppe Rizzo, Pablo Mendes, Eric Charton, Sebastian Hellmann, Aditya Kalyanpur (literal)
Abstract
  • The richness of the (Semantic) Web lies in its ability to link related resources as well as data across the Web. However, while relations within particular datasets are often well defined, links between disparate datasets and corpora of Web resources are rare. The increasingly widespread use of cross-domain reference datasets, such as Freebase and DBpedia for annotating and enriching datasets as well as document corpora, opens up opportunities to exploit their inherent semantics to uncover semantic relationships between disparate resources. In this paper, we present an approach to uncover relationships between disparate entities by analyzing the graphs of used reference datasets. We adapt a relationship assessment methodology from social network theory to measure the connectivity between entities in reference datasets and exploit these measures to identify correlated Web resources. Finally, we present an evaluation of our approach using the publicly available datasets Bibsonomy and USAToday. (literal)
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