Automatic Ontology Learning from Heterogeneous Relational Databases: Application in Alimentation Risks Field

Abstract : In this paper, we propose a semantic approach for automatic ontology learning from heterogeneous relational databases in order to facilitate their integration. The semantic enrichment of heterogeneous databases, which cover the same domain, is essential to integrate them. Our approach is based on Wordnet and Wup’s measure for measuring the semantic similarity between elements of these databases. It is described by a detailed process that can allow not only the generation of ontology but also its evolution as the evolution of its databases. We applied our approach in the alimentation risks field that is characterized by a large number of scientific databases. The developed prototype has been compared with similar tools of generation ontology from databases. The result confirms the quality of our prototype that returns the generic ontology from many relational databases.
Document type :
Conference papers
Abdelmalek Amine; Malek Mouhoub; Otmane Ait Mohamed; Bachir Djebbar. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-522, pp.199-210, 2018, Computational Intelligence and Its Applications. 〈10.1007/978-3-319-89743-1_18〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01913894
Contributor : Hal Ifip <>
Submitted on : Wednesday, November 7, 2018 - 9:33:03 AM
Last modification on : Thursday, November 8, 2018 - 1:32:44 PM
Document(s) archivé(s) le : Friday, February 8, 2019 - 1:10:44 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2021-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Aicha Aggoune. Automatic Ontology Learning from Heterogeneous Relational Databases: Application in Alimentation Risks Field. Abdelmalek Amine; Malek Mouhoub; Otmane Ait Mohamed; Bachir Djebbar. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-522, pp.199-210, 2018, Computational Intelligence and Its Applications. 〈10.1007/978-3-319-89743-1_18〉. 〈hal-01913894〉

Share

Metrics

Record views

8