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A Rule-Based Data Warehouse Model

机译:基于规则的数据仓库模型

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摘要

A data warehouse is built by collecting data from external sources. Changes that occur have to be reflected in the data warehouse thanks to schema updating or versioning. However a data warehouse has also to evolve according to users' analysis needs. This evolution is rather driven by knowledge than by data. To take into account these changes, we propose a new Rule-based Data Warehouse (R-DW) model in which rules integrate users' knowledge to dynamically create dimension hierarchies. The R-DW model is composed of a fixed part which is a fact table related to its first level dimensions, and an evolving part which contains the rules. Our model allows analysis context evolution and increases interactions between users and the decision support system.
机译:通过从外部来源收集数据来构建数据仓库。由于架构更新或版本控制,发生的更改必须反映在数据仓库中。但是,数据仓库也必须根据用户的分析需求而发展。这种演变是由知识而非数据驱动的。为了考虑这些更改,我们提出了一个新的基于规则的数据仓库(R-DW)模型,其中规则集成了用户的知识以动态创建维度层次结构。 R-DW模型由一个固定部分和一个包含规则的不断发展的部分组成,该部分是与其第一级维度相关的事实表。我们的模型允许分析上下文演化,并增加用户与决策支持系统之间的交互。

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