IndexMed projects: new tools using the CIGESMED DataBase on Coralligenous for indexing, visualizing and data mining based on graphs

Abstract : Data produced by the CIGESMED project (Coralligenous based Indicators to evaluate and monitor the "Good Environmental Status" of the MEDiterranean coastal waters) have a high potential for use by several stakeholders involved in environmental management. A new consortium called IndexMed whose task is to index Mediterranean biodiversity data, makes it possible to build graphs in order to analyse the CIGESMED data and develop new ways for data mining of coralligenous data. This paper presents the prototypes under development that test the ability of graphs approach to connect biodiversity objects with non-centralized data. This project explores the ability of two scientific communities to work together. The uses of data from coralligenous habitat demonstrate the prototype functionalities and introduce new perspectives to analyse environmental and societal responses.
Type de document :
Communication dans un congrès
8th International Congress on Environmental Modelling and Software, Jul 2016, Toulouse, France. Stream C/32 Processing environmental information including data mining, machine learning, GIS, remote sensing, 2016, Proceedings of the 8th International Congress on Environmental Modelling and Software. 〈http://www.iemss.org/sites/iemss2016/〉
Liste complète des métadonnées

Littérature citée [53 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01541142
Contributeur : Jean-Pierre Féral <>
Soumis le : samedi 17 juin 2017 - 20:35:51
Dernière modification le : lundi 30 octobre 2017 - 10:58:02

Fichier

2016_David R_IEMS_IndexMed pro...
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-01541142, version 1

Collections

Citation

Romain David, Jean-Pierre Feral, Anne Archambeau, Nicolas Bailly, Cyrille Blanpain, et al.. IndexMed projects: new tools using the CIGESMED DataBase on Coralligenous for indexing, visualizing and data mining based on graphs. 8th International Congress on Environmental Modelling and Software, Jul 2016, Toulouse, France. Stream C/32 Processing environmental information including data mining, machine learning, GIS, remote sensing, 2016, Proceedings of the 8th International Congress on Environmental Modelling and Software. 〈http://www.iemss.org/sites/iemss2016/〉. 〈hal-01541142〉

Partager

Métriques

Consultations de
la notice

85

Téléchargements du document

28