Ontology transformation in multiple domains

Authors:
Longbing Cao;Dan Luo;Chao Luo;Li Liu
Affiliations:
Faculty of Information Technology, University of Technology Sydney, Australia;Department of Electronics and Information, Liaoning Technical University, China;Department of Electronics and Information, Liaoning Technical University, China;Faculty of Information Technology, University of Technology Sydney, Australia
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

Citing 5
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Abstract

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.