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Conference Papers Year : 2022

An ETL-like platform for the processing of mobility data

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Abstract

In this article, we introduce a novel platform dedicated to the extraction, transformation and visualization of mobility data. This platform was developed in the framework of a French regional project (DA3T project) aiming at improving the management and valorisation of touristic cities via the fine-grained analysis of tourist mobility data. The system is totally modular, and non-computer scientists (such as geographers) can make processing pipelines from a variety of modules belonging to different categories (e.g., extraction, filtering, visualization, etc.). Each pipeline is created in order to help fulfil one or several reporting needs. Indeed, the results of those pipelines aim to be presented to local authorities and decision makers to assist them in improving infrastructure and tourism management. Beyond this main use case, the platform is also generic and aims to work with any kind of mobility data (not strictly limited to the tourism field). It is heavily inspired by traditional ETL (Extract, Transform, Load) software and processes.
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Dates and versions

hal-03778251 , version 1 (15-09-2022)

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Maxime Masson, Cécile Cayèré, Marie-Noëlle Bessagnet, Christian Sallaberry, Philippe Roose, et al.. An ETL-like platform for the processing of mobility data. SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Apr 2022, Virtual Event, France. pp.547-555, ⟨10.1145/3477314.3507057⟩. ⟨hal-03778251⟩
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