Ontology Alignment at the Instance and Schema Level

Fabian Suchanek 1 Serge Abiteboul 2 Pierre Senellart 3
1 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
2 DAHU - Verification in databases
CNRS - Centre National de la Recherche Scientifique : UMR8643, Inria Saclay - Ile de France, ENS Cachan - École normale supérieure - Cachan, LSV - Laboratoire Spécification et Vérification [Cachan]
Abstract : We present PARIS, an approach for the automatic alignment of ontologies. PARIS aligns not only instances, but also relations and classes. Alignments at the instance-level cross-fertilize with alignments at the schema-level. Thereby, our system provides a truly holistic solution to the problem of ontology alignment. The heart of the approach is probabilistic. This allows PARIS to run without any parameter tuning. We demonstrate the efficiency of the algorithm and its precision through extensive experiments. In particular, we obtain a precision of around 90% in experiments with two of the world's largest ontologies.
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Submitted on : Thursday, August 18, 2011 - 2:47:08 PM
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  • HAL Id : inria-00596210, version 3
  • ARXIV : 1105.5516

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Fabian Suchanek, Serge Abiteboul, Pierre Senellart. Ontology Alignment at the Instance and Schema Level. [Technical Report] RT-0408, INRIA. 2011, pp.26. ⟨inria-00596210v3⟩

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