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Extraction of environmental data from on-line environmental information sources

: Vrochidis, S.; Epitropou, V.; Bassoukos, A.; Voth, Sascha; Karatzas, K.; Moumtzidou, A.; Moßgraber, Jürgen; Kompatsiaris, I.; Karppinen, A.; Kukkonen, J.


Iliadis, Lazaros S. (Ed.):
Artificial Intelligence Applications and Innovations, AIAI 2012. Proceedings. Pt.II : International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Halkidiki, Greece, September 27-30, 2012
Berlin: Springer, 2012 (IFIP advances in information and communication technology 382)
ISBN: 978-3-642-33411-5 (Print)
ISBN: 3-642-33411-3
ISBN: 978-3-642-33412-2 (Online)
ISSN: 1571-5736
Conference on Artificial Intelligence Applications and Innovations (AIAI) <8, 2012, Halkidiki>
Intelligent Systems for Quality of Life Information Services Workshop (ISQL) <3, 2012, Halkidiki>
Conference Paper
Fraunhofer IOSB ()
environmental; air quality; heatmap; image processing; OCR; data reconstruction; template configuration

Analysis of environmental information is considered of utmost importance for humans, since environmental conditions are strongly related to health issues and to a variety of everyday activities. Despite the fact that there are already many free on-line services providing environmental information, there are several cases, in which the presentation format complicates the extraction and processing of such data. A very characteristic example is the air quality forecasts, which are usually encoded in image maps of heterogeneous formats, while the initial (numerical) pollutant concentrations, calculated and predicted by a relevant model, remain unavailable. This work addresses the task of semi-automatic extraction of such information based on a template configuration tool, on methodologies for data reconstruction from images, as well as on Optical Character Recognition (OCR) techniques. The framework is tested with a number of air quality forecast heatmaps demonstrating satisfactory results.