Creating multidimensional views from RDF sources

Abstract

Business Intelligence (BI) systems have been adopted for decades to collect and analyze (periodically) a mass of relevant information from internal data sources. With the emergence of the Semantic Web (SW) technologies and vocabularies, no one could deny the necessity of including these external web sources in the decision-making process. However, the actual architecture of BI remains operational only in a well-controlled context where the sources are static and where the multidimensional scheme is defined in advance. Therefore, there is a strong need for new methods in order to extract information from dynamic data sources and enabling On-Line Analytical Processing (OLAP). In this paper, we propose a transposition method of multidimensional concepts over multiple ontologies sources in order to create the correspondent schema.