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Reports (Contract/Project Report) Year : 2016

Instance-level matching

Abstract

This paper describes precisely an ontology matching technique based on the extensional definition of a class as set of instances. It first provides a general characterisation of such techniques and, in particular the need to rely on links across data sets in order to compare instances. We then detail the implication intensity measure that has been chosen. The resulting algorithm is implemented and evaluated on XLore, DBPedia, LinkedGeoData and Geospecies.
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Dates and versions

hal-01382105 , version 1 (15-10-2016)

Identifiers

  • HAL Id : hal-01382105 , version 1

Cite

Adam Sanchez, Tatiana Lesnikova, Jérôme David, Jérôme Euzenat. Instance-level matching. [Contract] Lindicle. 2016, pp.20. ⟨hal-01382105⟩
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