Transformation of OWL ontology sources into data warehouse

The Semantic Web, as the extension of the traditional Web, provides the semantic annotations of the information generated by different organizations. Semantic annotations are stored within ontologies. Ontologies are expressed using ontology language. Web Ontology Language (OWL) is one of the most popular ontology languages. As a result of the increasing use of ontologies, large quantity of complex, heterogeneous and semi-structured semantic data sources exists. There is plenty of useful information in these data sources that can be analyzed and used in the decision making process of an organization. In order to facilitate the analysis of semantic data, new data warehouse tools that support semantic data analysis must be made. Data warehouse is used in traditional business analysis and decision making processes. A star schema is the most common design of data warehouse. In this paper a method that transforms OWL structure into the star schema of data warehouse is proposed. After the designer chooses the fact in the ontology, a method transforms OWL into the star schema. At the end, the designer selects which elements in the schema remain while creating physical data warehouse.