Simplification of OWL Ontology Sources for Data Warehousing
Yassine Laadidi, Mohamed Bahaj · 2018
Nowadays, with the emergence of new web technologies, no one could deny the necessity of including such external data sources in the analysis process in order to provide the necessary knowledge for companies to improve their services and increase their profits. However, processing data in an open environment such as the web has become too difficult due to the diversity of distributed data sources and incapability of machines to 'understand' the real semantic of web resources. The Semantic Web (SW) provides the semantic annotations to describe and link scattered information over the web and facilitate inference mechanisms using ontologies. Web Ontology Language (OWL) is the W3C recommendation. A Data warehouse (DW) is used in decision making processes to store multidimensional (MD) information from heterogeneous data sources using ETL (Extract, Transform and Load) techniques. In this paper, we introduce firstly a simplification method of OWL inputs and then we define the related MD schema. Transformation rules are applied for defining multidimensional concepts over the OWL graph.