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Biodiversity and Environment Data Mining

Somsack Inthasone 1 Nicolas Pasquier 2 Andrea G. B. Tettamanzi 3 Célia da Costa Pereira 1 
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Projet MinD
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
3 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : The preservation of biodiversity is a crucial challenge of our times. Computer Science has much to offer in support of the efforts made by scientists in a variety of disciplines to better understand and govern the phenomena related to biodiversity. We provide a survey of Information Technology based resources and methods that can be employed to this end. In particular, we discuss (i) sources of data and information available on the World Wide Web and the technologies that make them accessible and interoperable, (ii) the methods, collectively falling under the umbrella term of Data Mining, which allow us to discover new useful knowledge from the available facts and integrate expert knowledge in the process.
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Submitted on : Thursday, June 4, 2015 - 1:33:42 PM
Last modification on : Thursday, August 4, 2022 - 4:58:41 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 3:11:51 AM


NUOL Scientific Journal Vol_IX...
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  • HAL Id : hal-01160069, version 1



Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira. Biodiversity and Environment Data Mining. Scientific Journal of National University of Laos, National University of Laos, 2015, 9, pp.116-128. ⟨hal-01160069⟩



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