Ontology-Driven Possibilistic Reference Fusion

Fatiha Saïs 1, 2 Rallou Thomopoulos 3 Sébastien Destercke 4, 5
2 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
3 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : It often happens that different references (i.e. data descriptions), possibly coming from different heterogeneous data sources, concern the same real world entity. In such cases, it is necessary: (i) to detect, through reconciliation methods, whether different data descriptions refer to the same real world entity and (ii) to fuse them into a unique representation. Here we assume the reference reconciliation is solved, and we propose a fusion method based on possibility theory, able to cope with uncertainty and with ontological knowledge. An imple- mentation using W3C standards is provided. Rising from the fusion process, an ontology enrichment procedure is proposed to complete the global ontology.
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https://hal.inria.fr/inria-00519677
Contributor : Fatiha Saïs <>
Submitted on : Tuesday, September 21, 2010 - 10:53:54 AM
Last modification on : Monday, November 18, 2019 - 3:21:59 PM

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  • HAL Id : inria-00519677, version 1

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Fatiha Saïs, Rallou Thomopoulos, Sébastien Destercke. Ontology-Driven Possibilistic Reference Fusion. OTM/ODBASE'2010: 9th International Conference on Ontologies, DataBases, and Applications of Semantics, Oct 2010, Crete, Greece. pp.1081-1098. ⟨inria-00519677⟩

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