Analyzing textual documents with new OLAP operators

M. Azabou, Kaïs Khrouf, J. Feki, C. Soulé-Dupuy, N. Vallès-Parlangeau
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引用次数: 5

Abstract

As the amount of data grows very fast inside and outside of an enterprise, it is getting important to analyze both of them for getting total business intelligence. While online analytical processing (OLAP) techniques have been proven very useful for analyzing structured data, they face challenges in handling unstructured data. To this end, new multidimensional models have been proposed for OLAP purposes. Nevertheless, there is no proposal allowing managing both document structures and the semantics of the textual content. In our previous work, we proposed to integrate the entire document within a Diamond multi-dimensional model. In this paper, based on our proposed model, we provide new OLAP operators that take into account the specificities of this model.
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使用新的OLAP操作符分析文本文档
随着企业内外数据量的快速增长,对两者进行分析以获得总体商业智能变得越来越重要。虽然在线分析处理(OLAP)技术已被证明对分析结构化数据非常有用,但它们在处理非结构化数据时面临挑战。为此,为OLAP目的提出了新的多维模型。然而,没有建议允许同时管理文档结构和文本内容的语义。在我们之前的工作中,我们建议将整个文档集成到Diamond多维模型中。在本文中,基于我们提出的模型,我们提供了考虑到该模型特殊性的新的OLAP操作符。
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