Mixed-instance querying: a lightweight integration architecture for data journalism - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2016

Mixed-instance querying: a lightweight integration architecture for data journalism

Abstract

As the world's affairs get increasingly more digital, timely production and consumption of news require to efficiently and quickly exploit heterogeneous data sources. Discussions with journalists revealed that content management tools currently at their disposal fall very short of expectations. We demonstrate TATOOINE, a lightweight data integration prototype, which allows to quickly set up integration queries across (very) heterogeneous data sources, capitalizing on the many data links (joins) available in this application domain. Our demonstration is based on scenarios we study in collaboration with Le Monde, France's major newspaper.
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Dates and versions

hal-01321201 , version 1 (25-05-2016)
hal-01321201 , version 2 (27-05-2016)

Identifiers

  • HAL Id : hal-01321201 , version 2

Cite

Raphaël Bonaque, Tien Duc Cao, Bogdan Cautis, François Goasdoué, Javier Letelier, et al.. Mixed-instance querying: a lightweight integration architecture for data journalism. VLDB, Sep 2016, New Delhi, India. ⟨hal-01321201v2⟩
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