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SUMMARY:PARIS: Probabilistic Alignment of Relations\, Instances\, and Sche
 ma - Fabian Suchanek\, INRIA
DTSTART:20111104T100000Z
DTEND:20111104T110000Z
UID:TALK34380@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:One of the main challenges that the SemanticWeb faces is the i
 ntegration of a growing number of independently designed ontologies. In th
 is work\, we present PARIS\, an approach for the automatic alignment of on
 tologies. 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 t
 he problem of ontology alignment. The heart of the approach is probabilist
 ic\, i.e.\, we measure degrees of matchings based on probability estimates
 . This allows PARIS to run without any parameter tuning. We demonstrate th
 e efficiency of the algorithm and its precision through extensive experime
 nts. In particular\, we obtain a precision of around 90% in experiments wi
 th some of the world's largest ontologies.
LOCATION:Small public lecture room\, Microsoft Research Ltd\, 7 J J Thomso
 n Avenue (Off Madingley Road)\, Cambridge
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