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ExpOLAP: Towards exploratory OLAP

机译:ExpOLAP:迈向探索性OLAP

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摘要

Traditionally, OLAP tools have been performed on static and structured data sources. Nowadays, there is plenty of data in different formats, such as the Resource Description Framework (RDF), a semi-structured and semantically-rich format external to the BI infrastructure. Although such data formats are enriched by semantics, performing data analysis is challenging. As a result, the Exploratory OLAP field has emerged for discovery, acquisition, integration and querying such data, aiming at performing a complete and effective analysis on both internal and external data. In this paper, we propose an innovative Exploratory OLAP approach that integrates on the fly semantic semi-structured and structured data sources.
机译:传统上,OLAP工具是在静态和结构化数据源上执行的。如今,有许多格式不同的数据,例如资源描述框架(RDF),这是BI基础架构外部的一种半结构化且语义丰富的格式。尽管语义丰富了此类数据格式,但执行数据分析仍具有挑战性。结果,“探索性OLAP”字段出现了,用于发现,获取,集成和查询此类数据,旨在对内部和外部数据进行完整而有效的分析。在本文中,我们提出了一种创新的探索性OLAP方法,该方法集成了动态语义半结构化和结构化数据源。

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