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ThinkMind // International Journal On Advances in Software, volume 7, numbers 1 and 2, 2014 // View article soft_v7_n12_2014_20


An Ontology-Driven Personalization Approach for Data Warehouse Exploitation

Authors:
Lama El Sarraj
Bernard Espinasse
Thérèse Libourel

Keywords: data warehouse, ontology, personalization, decision support systems, decision making, healthcare institution management.

Abstract:
Data Warehouses (DW) resources are shared by users’ from different backgrounds (e.g., domain, culture, education, profession). Those resources (e.g., OLAP queries, Excel files) are interpreted differently from a user to another. Unfortunately, misinterpreting data could induce serious problems and conflicts. To guarantee relevant interpretation of resources, additional semantic description of resources concepts is necessary. In this context, we present an Ontology-driven Personalization System (OPS) based on three connected ontologies: domain ontology, DW ontology and resources ontology. OPS return a set of personalized resources search based on users’ domain and his recurring interests. In addition, resources are enhanced with a semantic description provided by the ontologies. This paper focuses on the methodology used to develop connected ontologies used by OPS.

Pages: 253 to 265

Copyright: Copyright (c) to authors, 2014. Used with permission.

Publication date: June 30, 2014

Published in: journal

ISSN: 1942-2628

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