Mapping data driven and upper level ontology

  • Authors:
  • Mariana Damova;Svetoslav Petrov;Kiril Simov

  • Affiliations:
  • Ontotext AD, Sofia, Bulgaria;Ontotext AD, Sofia, Bulgaria;Ontotext AD, Sofia, Bulgaria

  • Venue:
  • AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
  • Year:
  • 2010

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Abstract

The Linking Open data (LOD) [1] initiative aims to facilitate the emergence of a web of linked data by publishing and interlinking open data on the web in RDF. The access to these data becomes increasingly a challenge. This paper presents an innovative method for retrieving facts from vast amounts of data by using an upper level ontology (PROTON) [2] as an access interface. FactForge, the largest and most heterogeneous body of general factual knowledge that was ever used for logical inference served to develop and test the method of mapping ontologies.