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Conference papers

KD2R : a Key Discovery method for semantic Reference Reconcilation

Danai Symeonidou 1, 2 Nathalie Pernelle 1, 2 Fatiha Saïs 1, 2 
2 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : The reference reconciliation problem consists of deciding whether different identifiers refer to the same world entity. Some existing reference recon- ciliation approaches use key constraints to infer reconciliation decisions. In the context of the Linked Open Data, this knowledge is not available. We propose KD2R, a method which allows automatic discovery of key constraints associated to OWL2 classes. These keys are discovered from RDF data which can be in- complete. The proposed algorithm allows this discovery without having to scan all the data. KD2R has been tested on data sets of the international contest OAEI and obtains promising results.
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Submitted on : Friday, September 23, 2011 - 6:01:11 PM
Last modification on : Sunday, June 26, 2022 - 11:54:28 AM


  • HAL Id : inria-00626199, version 1



Danai Symeonidou, Nathalie Pernelle, Fatiha Saïs. KD2R : a Key Discovery method for semantic Reference Reconcilation. 7th International IFIP Workshop on Semantic Web & Web Semantics (SWWS 2011), Oct 2011, Heraklion, Greece. (10 p., à paraître). ⟨inria-00626199⟩



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