Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP
Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP
复制标题
使用 QB4OLAP 在语义 Web 上建模和查询数据仓库
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
E. Zimányi
中科院分区：
文献类型：
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作者：
Lorena Etcheverry;A. Vaisman;E. Zimányi
网络正在改变数据仓库的设计和利用方式。如今，对于许多数据分析任务，传统数据仓库中包含的数据可能不够，外部数据源（例如网络）可以提供有用的多维信息。此外，大型语义注释数据存储库正在网络上可用，为增强当前决策支持系统提供了新的机会。通过语义网络标准表示多维数据对于实现这一目标至关重要。在本文中，我们扩展了 QB4OLAP RDF 词汇表来表示平衡、递归和参差不齐的层次结构。我们还提出了一组规则来获取概念多维模型的 QB4OLAP 表示，以及一个从多维模型的关系实现中填充结果的过程。我们在本文的总结中展示了如何将 SPARQL 中表达的复杂的现实世界 OLAP 查询应用于生成的 QB4OLAP 模型。
The web is changing the way in which data warehouses are designed and exploited. Nowadays, for many data analysis tasks, data contained in a conventional data warehouse may not suffice, and external data sources, like the web, can provide useful multidimensional information. Also, large repositories of semantically annotated data are becoming available on the web, opening new opportunities for enhancing current decision-support systems. Representation of multidimensional data via semantic web standards is crucial to achieve such goal. In this paper we extend the QB4OLAP RDF vocabulary to represent balanced, recursive, and ragged hierarchies. We also present a set of rules to obtain a QB4OLAP representation of a conceptual multidimensional model, and a procedure to populate the result from a relational implementation of the multidimensional model. We conclude the paper showing how complex real-world OLAP queries expressed in SPARQL can be posed to the resulting QB4OLAP model.