Chapter

Knowledge-Based Intelligent Information and Engineering Systems

Volume 5178 of the series Lecture Notes in Computer Science pp 89-96

Representation of Uncertain Knowledge in Probabilistic OLAP Model

  • Maciej KiewraAffiliated withInstitute of Information Science and Engineering, Wroclaw University of Technology

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Abstract

The probabilistic OLAP model has been presented in this paper. It permits uncertain knowledge to be represented in data warehouse systems. There are two types of uncertainty that can be expressed in this model: imprecise facts and uncertain facts. The former are facts that have occurred but their characteristics are not certain. The latter are facts whose occurrences are uncertain. Typical OLAP algebra operators (set operators, restriction, projection etc.) are included in this model.

Keywords

data warehouse OLAP knowledge management uncertainty probabilistic databases multidimensional model