Sindice.com: a document-oriented lookup index for open linked data

  • Authors:

  • Eyal Oren;Renaud Delbru;Michele Catasta;Richard Cyganiak;Holger Stenzhorn;Giovanni Tummarello

  • Affiliations:

  • The Network Institute, Vrije Universiteit Amsterdam, The Netherlands.;Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland.;Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland.;Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland.;Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Stefan-Meier-Str. 26, 79104 Freiburg, Germany.;Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

  • Venue:
  • International Journal of Metadata, Semantics and Ontologies
  • Year:
  • 2008

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Abstract

Data discovery on the Semantic Web requires crawling and indexing of statements, in addition to the 'linked-data' approach of de-referencing resource URIs. Existing Semantic Web search engines are focused on database-like functionality, compromising on index size, query performance and live updates. We present Sindice, a lookup index over Semantic Web resources. Our index allows applications to automatically locate documents containing information about a given resource. In addition, we allow resource retrieval through inverse-functional properties, offer a full-text search and index SPARQL endpoints. Finally, we extend the sitemap protocol to efficiently index large datasets with minimal impact on data providers.