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要旨:
One of the main challenges that the Semantic Web faces is the
integration of a growing number of independently designed
ontologies. In this work, 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, i.e., we measure degrees of
matchings based on probability estimates. This allows paris
to run without any parameter tuning. We demonstrate
the eciency of the algorithm and its precision through
extensive experiments. In particular, we obtain a precision
of around 90 in experiments with some of the world's
largest ontologies.
