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Same words? Same worlds? Comparing ontologies underlying geographic data

Sébastien Mustière 1 Chantal Reynaud 2, 3 Brigitte Safar 2, 3 Nathalie Abadie 1 
3 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
Abstract : Assessing how much two geographic databases reflect the same point of view is a key issue for data integration. We argue that this task requires developing ontologies revealing the point of view of each piece of information, and neglecting the technical choices behind the organization of information in data schemas. These ontologies need then to be aligned and globally compared. In this paper, we describe techniques allowing doing that in the fields of ontology alignment and natural language processing. We illustrate those points through results from experiments made on actual data with a semi-automated analysis of their specifications.
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Submitted on : Tuesday, November 17, 2009 - 2:03:10 PM
Last modification on : Sunday, June 26, 2022 - 11:50:51 AM
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  • HAL Id : inria-00432827, version 1



Sébastien Mustière, Chantal Reynaud, Brigitte Safar, Nathalie Abadie. Same words? Same worlds? Comparing ontologies underlying geographic data. [Intern report] IGN (Institut géographique national), 73 avenue de Paris, F-94160 SAINT MANDÉ. 2009, pp.17. ⟨inria-00432827⟩



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