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Automatic Integration Issues of Tabular Data for On-Line Analysis Processing

Abstract : Companies and individuals produce numerous tabular data. The objective of this position paper is to draw up the challenges posed by the automatic integration of data in the form of tables so that they can be cross-analyzed. We provide a first automatic solution for the integration of such tabular data to allow On-Line Analysis Processing. To fulfil this task, features of tabular data should be analyzed and the challenge of automatic multidimensional schema generation should be addressed. Hence, we propose a typology of tabular data and discuss our idea of an automatic solution.
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Submitted on : Saturday, August 29, 2020 - 5:50:14 PM
Last modification on : Tuesday, October 19, 2021 - 2:23:37 PM


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  • HAL Id : hal-02889486, version 2
  • ARXIV : 2008.11409


Yuzhao Yang, Jérôme Darmont, Franck Ravat, Olivier Teste. Automatic Integration Issues of Tabular Data for On-Line Analysis Processing. 16e journées EDA Business Intelligence & Big Data (EDA 2020), Aug 2020, Lyon, France. pp.5-18. ⟨hal-02889486v2⟩



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