PARIS: Probabilistic Alignment of Relations, Instances, and Schema

Details PARIS: Probabilistic Alignment of Relations, Instances, and Schema PARIS: Probabilistic Alignment of Relations, Instances, and Schema

2011-11-30

arxiv.org/abs/1111.7164v1

Proceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 3, pp. 157-168 (2011)

Computer Science

Databases

VLDB2012. arXiv admin note: substantial text overlap with arXiv:1105.5516

Scientific paper

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 efficiency 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.

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