Discovery of semantic mappings between semantic resources in a cooperative environment

In collaborative work experts are encouraged to use semantic resources. These resources are generally represented with the aid of concepts and relationships and can be modelled in the form of ontologies. Each expert in a field of application often uses one or more semantic resources, and may also have access to other semantic resources made available by her/his partners. However, these resources are heterogeneous at different levels making difficult syntactic, structural and semantic interoperability. In this work, we emphasize semantic interoperability. We propose a methodology to help semiautomatic discovery of semantic mappings between concepts of different semantic resources. To accomplish this work, we transform these semantic resources in OWL-DL to use the services of inference engine based on description logics. We also propose a process for creating equivalence for relations between different semantic resources, called unification of relations; it aims to discover other semantic mapping. The results of this work were tested by a prototype. The implementation was carried out with resources from within the industry European construction sector. To assist in the evaluation of semantic mappings, we also propose a domain knowledge modelling based on fuzzy logic.

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Source https://theses.hal.science/tel-00776673
Author Ferreira da Silva, Catarina
Maintainer CCSD
Last Updated May 15, 2026, 06:28 (UTC)
Created May 15, 2026, 06:28 (UTC)
Identifier tel-00776673
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) ; Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
creator Ferreira da Silva, Catarina
date 2007-12-07T00:00:00
harvest_object_id 3120a42a-8521-4505-bf33-6374067255d0
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-03T00:00:00
set_spec type:THESE