N. Kerdprasop and K. Kerdprasop (Thailand)
OLAP, Rule-based language, Inductive knowledge
We propose to enhance the functionality of the OLAP systems by incorporating the knowledge extraction com ponent. The extracted knowledge is mainly to benefit the OLAP analysts by guiding them to the interesting por tions of data and augmenting the precious information to the query results. We also describe the OLAP architecture extending with the knowledge management part. The Datalog-like rule-based language is proposed to be the unified language for knowledge representation and ma nipulation. The functionalities of the language are illus trated via examples.
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