Data warehouse is now widely used in business analysis and decision making processes. To adapt the rapidly changing business environment, we develop Enterprise Information Asset Workbench (EIAW) to make data warehouses more business-friendly by using Semantic Web technologies. The main idea is to make business semantics explicit by uniformly representing the business metadata (i.e. conceptual data model and multidimensional model) with an extended OWL language. Then a mapping from the business metadata to the schema of the data warehouse is built. When an analysis request is raised, a customized data mart with data populated from the data warehouse can be automatically generated with the help of this built-in knowledge.
A powerpoint demo of the EIAW tool is available as below.
If you want to know more technical details about EIAW, please read our ISWC 2007 paper, EIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies.
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