Ontology Transformation in Multiple Domains

Publisher:
Springer
Publication Type:
Conference Proceeding
Citation:
AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence Cairns, Australia, December 2004 Proceedings, 2004, pp. 985 - 990
Issue Date:
2004-01
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We have proposed a new approach called ontology services-driven integration of business intelligence (BI) to designing an integrated BI platform. In such a BI platform, multiple ontological domains may get involved, such as domains for business, reporting, data warehouse, and multiple underlying enterprise information systems. In general, ontologies in the above multiple domains are heterogeneous. So, a key issue emerges in the process of building an integrated BI platform, that is, how to support ontology transformation and mapping between multiple ontological domains. In this paper, we present semantic aggregations of semantic relationships and ontologies in one or multiple domains, and the ontological transformation from one domain to another. Rules for the above semantic aggregation and transformation are described. This work is the foundation for supporting BI analyses crossing multiple domains.
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