Managing dependencies and interactions between Ontologies and Business Rules

Due to the rapid evolution of knowledge areas, the maintenance of the information systems becomes increasingly difficult to manage. In order to ensure the flexibility of such systems, we propose an approach that enables to separate the business domain knowledge from the hard coded application. This solution enables business users to maintain the evolution of the business domain knowledge and facilitates the maintenance of the information systems. The proposed solution consists of integrating ontologies and business rules. Ontologies enable modeling domain knowledge. Based on that domain knowledge, business rules are authored, in a controlled natural language, in order to automate decision. As business rules depend on ontology entities, we focus on the ontology evolution impact on rules. For that, we propose the MDR approach (Model - Detect - Repair), which consists on modeling ontology changes, detecting the problems they may cause and proposing repairs to solve these problems. The MDR approach is business users oriented and is based on Business Rules Management Systems.

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Source https://theses.hal.science/tel-00820674
Author Chniti, Amina
Maintainer CCSD
Last Updated May 11, 2026, 05:13 (UTC)
Created May 11, 2026, 05:13 (UTC)
Identifier tel-00820674
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Centre de Recherche des Cordeliers (CRC (UMR_S 872)) ; Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
creator Chniti, Amina
date 2013-02-20T00:00:00
harvest_object_id 87baba4c-5de5-4dae-8802-a015c90a7a44
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-20T00:00:00
set_spec type:THESE