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Case-based reasoning for data warehouse schema design

Mathew, Avin D., Ma, Lin, & Narasimhan, V. Lakshmi (2006) Case-based reasoning for data warehouse schema design. In The 36th International Conference on Computers and Industrial Engineering, 20-23 June 2006, Howard Hotel, Taipei, Taiwan.

Abstract

There have been several efforts made in the area of semi-automated techniques and tools for schema design. Most have focused on database schema design, and little work has been done on data warehouse schema design. This paper presents a new approach to data warehouse schema design based on case-based reasoning theory. Case-based reasoning is a problem solving paradigm that involves the development of a solution space to provide a basis for efficient reuse of proven pre-existing solutions. A detailed system design for the application of case-based reasoning to data warehouse schema design is examined in this paper. Two novel contributions of the paper include the matching of cases by data warehouse schema meta-data, and the use of a business context aware ontology to make intelligent suggestions on entities and attributes. These two approaches assist in improving the case matching and adaptation capability in the case-based reasoning system.

Impact and interest:

1 citations in Scopus
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ID Code: 4801
Item Type: Conference Paper
Additional URLs:
Keywords: case, based reasoning, data warehousing, star schema design, context aware ontology
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DATA FORMAT (080400) > Data Structures (080403)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2006 (please consult author)
Deposited On: 11 Aug 2006
Last Modified: 29 Feb 2012 23:18

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