Knowledge extraction from structured sources

  • Authors:
  • Jörg Unbehauen;Sebastian Hellmann;Sören Auer;Claus Stadler

  • Affiliations:
  • Universität Leipzig, Leipzig, Germany;Universität Leipzig, Leipzig, Germany;Universität Leipzig, Leipzig, Germany;Universität Leipzig, Leipzig, Germany

  • Venue:
  • Search Computing
  • Year:
  • 2012

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Abstract

This chapter surveys knowledge extraction approaches from structured sources such as relational databases, XML and CSV. A general definition of knowledge extraction is devised that covers structured as well as unstructured sources. We summarize current progress on conversion of structured data to RDF and OWL. As an example, we provide a formalization and description of SparqlMap, which implements the relational database to RDF mapping language R2RML currently being standardized by the W3C.