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Pattern-based Mapping Refinement

Fayçal Hamdi 1, 2, 3 Chantal Reynaud 1, 3 Brigitte Safar 1, 3
2 GEMO - Integration of data and knowledge distributed over the web
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 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
Abstract : Ontology alignment is an important task for information integration. Current ontology matchers are not efficient for all application domains or ontologies. Very often the quality of the results can be improved by considering the specificities of the ontologies domain. In this paper, we propose an environment, called taxoMap Framework, based on taxoMap, an alignment tool, which helps an expert to specify treatments based on an alignment results. The aim is to refine these results, or to merge, restrcuture or enrich ontologies. We apply our approach to mapping refinement in the topographic field within the ANR project, GeOnto.
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https://hal.inria.fr/inria-00491131
Contributor : Chantal Reynaud <>
Submitted on : Thursday, June 10, 2010 - 4:44:51 PM
Last modification on : Wednesday, September 16, 2020 - 5:22:25 PM

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  • HAL Id : inria-00491131, version 1

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Fayçal Hamdi, Chantal Reynaud, Brigitte Safar. Pattern-based Mapping Refinement. International Conference on Knowledge Engineering and Management by the Masses (EKAW), Oct 2010, Lisbon, Portugal. pp.1-15. ⟨inria-00491131⟩

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