Abstract: The integration of Business Intelligence (BI) has been taken
bybusiness decision-makers as an effective means to enhance enterprise "soft
power" and added value in the reconstruction and revolution oftraditional
industries. The existing solutions based on structuralintegration are to pack
together data warehouse (DW), OLAP, data mining(DM) and reporting systems from
different vendors. BI system users arefinally delivered a reporting system in
which reports, data models,dimensions and measures are predefined by system
designers. As aresult of a survey in the US, 85% of DW projects based on the
above solutions failed to meet their intended objectives. In this paper,
wesummarize our investigation on the integration of BI on the basis ofsemantic
integration and structural interaction. Ontology-basedintegration of BI is
discussed for semantic interoperability inintegrating DW, OLAP and DM. A hybrid
ontological structure isintroduced which includes conceptual view, analytical
view and physicalview. These views are matched with user interfaces, DW and
enterpriseinformation systems, respectively. Relevant ontological
engineeringtechniques are developed for ontology namespace, semantic
relationships,and ontological transformation, mapping and query in this
ontologicalspace. The approach is promising for business-oriented, adaptive
andautomatic integration of BI in the real world. Operational decisionmaking
experiments within a telecom company have demonstrated that a BI system
utilizing the proposed approach is more flexible.
Keywords: Business intelligence, ontology, ontological engineering
