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Computer Science > Other Computer Science

arXiv:1102.4684 (cs)
[Submitted on 23 Feb 2011]

Title:P ORTOLAN: a Model-Driven Cartography Framework

Authors:Vincent Mahe (INRIA - EMN), Salvador Martinez Perez (INRIA - EMN), Guillaume Doux (INRIA - EMN), Hugo Brunelière (INRIA - EMN), Jordi Cabot (INRIA - EMN)
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Abstract:Processing large amounts of data to extract useful information is an essential task within companies. To help in this task, visualization techniques have been commonly used due to their capacity to present data in synthesized views, easier to understand and manage. However, achieving the right visualization display for a data set is a complex cartography process that involves several transformation steps to adapt the (domain) data to the (visualization) data format expected by visualization tools. To maximize the benefits of visualization we propose Portolan, a generic model-driven cartography framework that facilitates the discovery of the data to visualize, the specification of view definitions for that data and the transformations to bridge the gap with the visualization tools. Our approach has been implemented on top of the Eclipse EMF modeling framework and validated on three different use cases.
Subjects: Other Computer Science (cs.OH)
Cite as: arXiv:1102.4684 [cs.OH]
  (or arXiv:1102.4684v1 [cs.OH] for this version)
  https://doi.org/10.48550/arXiv.1102.4684

Submission history

From: Vincent Mahe [view email] [via CCSD proxy]
[v1] Wed, 23 Feb 2011 08:21:43 UTC (2,103 KB)
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