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Designing a Data Warehouse from OWL sources  
Yassine Laadidi1,Mohamed Bahaj2
*1, Ph.D., Email : yassine.laadidi@gmail.com
*2, FST Settat Morocco, Email : mohamedbahaj@gmail.com
Abstract .The Semantic web is the new extension of actual web to make data “understandable” by computers in order to construct one global source of information. As a result, a huge quantity of semantic data is provided. RDF (which stands for Resource Description Framework) is a standard model for data, used and designed to describe information on the semantic web. Web Ontology Language (OWL) is the standard language used to describe semantic relationships and allows us to specify far more about the properties and classes. A data warehouse as a dimensional schema is designed to change and grow up over time to respond to the business needs. This paper describes our approach to define a dimensional fact model from OWL ontology sources. The method treats a complex ontology structure in two parties, first by a simplification process that allows us to clean up and focus in important concepts and needed data, the second party is the construction of the dimensional fact model according to the resulting OWL structure from the previous party.
Keywords : RDF ; OWL-DL ; OLAP ; BI ; Semantic Web ; Ontology ; Star-Schema
 URL: http://dx.doi.org/10.7321/jscse.v5.n3.1  

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