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.
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Cao, L., Luo, D., Luo, C., Liu, L. (2004). Ontology Transformation in Multiple Domains. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_90
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DOI: https://doi.org/10.1007/978-3-540-30549-1_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24059-4
Online ISBN: 978-3-540-30549-1
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