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Enterprise Business Intelligence data preparation using RDF data sources
Author(s)
Teswanich, Wajee
Chittayasothorn, Suphamit
Date Issued
January 1, 2008
Type
Conference Paper
Abstract
Business Intelligence (BI) plays important roles in executive decision making in organizations. Up-to-date information from good data sources always gives advantages to the organization. Nowadays, information in Semantic Webs is considered important source of Bl data. It provides machine readable information using the Resource Description Framework (RDF). To perform BI activities on RDF documents, many research works propose direct mining on RDF documents. This paper presents a different approach for preparing BI project information from RDF data sources. A conceptual meta schema is used to describe RDF information. The meta schema is transformed into meta tables which are used to keep both RDF schema and document information. A transformation algorithm is proposed to transform the information into 5NF relational database schemas and relations which are finally transformed into BI project data structures. © 2008 by Springer Science+Business Media New York.
Citation
IFIP Advances in Information and Communication Technology, 254 VOLUME 1, 443-453, 2008