Consistency Reasoning for Data Warehouse Metadata Based on Data Vault

Xinyao Feng, Zewu Peng, Haowen Ren, Hanyang Xie, Jinhe Wang, Taipeng Zhu, Yingwei Liang, Ding Pan
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Abstract

In the process of building data warehouse based on Data Vault (DV), the creation and use of metadata involve multiple schemas and views of data from different sources, which inevitably bring inconsistency problems such as metadata missing, duplication and disconnection. However, due to the lack of precise semantics in DV metamodel, it is difficult to use automatic logical reasoning to detect these problems. This paper presents a formal logic DLdv in the describing logic family. Formalization upon the metamodel and metadata of DV data warehouse are analyzed in detail by using the descriptive logic DLdv. It is proved that the feasibility of applying DLdv to DV metamodel for automatically consistency reasoning.
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基于数据仓库的数据仓库元数据一致性推理
在基于数据仓库(data Vault, DV)的数据仓库构建过程中,元数据的创建和使用涉及到不同来源数据的多个模式和视图,不可避免地带来元数据缺失、重复和断开等不一致问题。然而,由于DV元模型缺乏精确的语义,很难使用自动逻辑推理来检测这些问题。本文提出了描述逻辑族中的一种形式逻辑DLdv。利用描述逻辑DLdv,详细分析了DV数据仓库的元模型和元数据的形式化。证明了将DLdv应用于DV元模型进行自动一致性推理的可行性。
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