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Pereira Nunes, Bernardo [VerfasserIn]; Dietze, Stefan [VerfasserIn]; Casanova, Marco Antonio [VerfasserIn]; Kawase, Ricardo [VerfasserIn]; Fetahu, Besnik [VerfasserIn]; Nejdl, Wolfgang [VerfasserIn]; Cimiano, Philipp [VerfasserIn]; Corcho, Oscar [VerfasserIn]; Presutti, Valentina [VerfasserIn]; Hollink, Laura [VerfasserIn]; Rudolph, Sebastian [VerfasserIn]

Combining a co-occurrence-based and a semantic measure for entity linking - [accepted Version]

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  • Medientyp: Sonstige Veröffentlichung; E-Artikel
  • Titel: Combining a co-occurrence-based and a semantic measure for entity linking
  • Beteiligte: Pereira Nunes, Bernardo [VerfasserIn]; Dietze, Stefan [VerfasserIn]; Casanova, Marco Antonio [VerfasserIn]; Kawase, Ricardo [VerfasserIn]; Fetahu, Besnik [VerfasserIn]; Nejdl, Wolfgang [VerfasserIn]; Cimiano, Philipp [VerfasserIn]; Corcho, Oscar [VerfasserIn]; Presutti, Valentina [VerfasserIn]; Hollink, Laura [VerfasserIn]; Rudolph, Sebastian [VerfasserIn]
  • Erschienen: Heidelberg : Springer Verlag, 2013
  • Erschienen in: The Semantic Web: Semantics and Big Data ; Lecture Notes in Computer Science ; 7882
  • Ausgabe: accepted Version
  • Sprache: Englisch
  • DOI: https://doi.org/10.15488/1332; https://doi.org/10.1007/978-3-642-38288-8-37
  • ISBN: 978-3-642-38287-1; 978-3-642-38288-8
  • Schlagwörter: Linked datum ; linked data ; co-occurrence-based measure ; link detection ; Co-occurrence ; Semantic relationships ; semantic associations ; Web resources ; World Wide Web ; Semantic Web ; Semantic connectivity ; Semantic measures ; Search engines ; Konferenzschrift ; Data integration ; Graph analysis
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  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: One key feature of the Semantic Web lies in the ability to link related Web resources. 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 documents, opens up opportunities to exploit their inherent semantic relationships to align disparate Web resources. In this paper, we present a combined approach to uncover relationships between disparate entities which exploits (a) graph analysis of reference datasets together with (b) entity co-occurrence on the Web with the help of search engines. In (a), we introduce a novel approach adopted and applied from social network theory to measure the connectivity between given entities in reference datasets. The connectivity measures are used to identify connected Web resources. Finally, we present a thorough evaluation of our approach using a publicly available dataset and introduce a comparison with established measures in the field. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-38288-8_37.
  • Zugangsstatus: Freier Zugang