Amrouch Siham (2009) Fusion d'ontologies de domaine pour la gestion de connaissances application aux Turbine à Vapeur. University of Souk Ahras
Scientific Publications
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Abstract
Initial knowledge in a given field is developed as the environment is acquired from different sources of information.
During the merger, problems of heterogeneity and contradiction between the concepts can appear, hence the need to automate the merge process through an ontology fusion algorithm that will be applied to ontologies (two or more) representing a steam turbine.
The importance of the field of application is the need for efficient management facilitating storage, processing and knowledge management, thus making it easy and effective to acquire the answers of technicians and operators. to requests of different levels and for different purposes of maintenance, operation and adaptation.
Our goal is to apply a fusion algorithm on two source ontologies, coming from the same field of industrial maintenance and describing the same Steam Turbine operated in the SONELGAZ company for the production of electricity, but according to two different contexts, one Topological and the other Diagnostic. This algorithm therefore results in a single larger and more complete ontology covering a wider field of application. First, we merged the two ontologies by applying the Protege fusion plugin, PROMPT, which is a semi automatic algorithm that guides the user to merge source ontologies.
Our contribution was to create an automatic ontology fusion tool, independent of any ontology construction environment and requiring no human intervention.
Keywords:
Fusion of ontologies, Steam Turbine, DataMaster, Protege 2000, OWL, PROMPT.
During the merger, problems of heterogeneity and contradiction between the concepts can appear, hence the need to automate the merge process through an ontology fusion algorithm that will be applied to ontologies (two or more) representing a steam turbine.
The importance of the field of application is the need for efficient management facilitating storage, processing and knowledge management, thus making it easy and effective to acquire the answers of technicians and operators. to requests of different levels and for different purposes of maintenance, operation and adaptation.
Our goal is to apply a fusion algorithm on two source ontologies, coming from the same field of industrial maintenance and describing the same Steam Turbine operated in the SONELGAZ company for the production of electricity, but according to two different contexts, one Topological and the other Diagnostic. This algorithm therefore results in a single larger and more complete ontology covering a wider field of application. First, we merged the two ontologies by applying the Protege fusion plugin, PROMPT, which is a semi automatic algorithm that guides the user to merge source ontologies.
Our contribution was to create an automatic ontology fusion tool, independent of any ontology construction environment and requiring no human intervention.
Keywords:
Fusion of ontologies, Steam Turbine, DataMaster, Protege 2000, OWL, PROMPT.
Information
| Item Type | Thesis |
|---|---|
| Divisions | |
| ePrint ID | 1046 |
| Date Deposited | 2017-12-31 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/1046 |
BibTex
@phdthesis{uniusa1046,
title={Fusion d'ontologies de domaine pour la gestion de connaissances application aux Turbine à Vapeur},
author={Amrouch Siham},
year={2009},
school={University of Souk Ahras}
}
title={Fusion d'ontologies de domaine pour la gestion de connaissances application aux Turbine à Vapeur},
author={Amrouch Siham},
year={2009},
school={University of Souk Ahras}
}