Ngoan Thanh Trieu, Zachary E. S. Williams, Jean-François M. Dorville,
Hiep Xuan Huynh, Vincent Rodin and Bernard Pottier.
Open Data for Environment Sensing: Crowdsourcing Geolocation Data.
EAI Endorsed Transactions on Context-Aware Systems and Applications (CASA),
European Union Digital Library (EUDL), 7(20):e4, May 2020.
Abstract:
There are numerous situations where the digital representation of the
environment appears critical for understanding and decision-making: threats
on soils, water, seashores, risk of fires, pollutions are evident applications.
If spatial cellular decomposition is evidence in the more common applications,
there remains a large field for environment and activities modelling.
The integration and composition of several information sources is perhaps the
main difficulty with the need to deal with data interpretation and semantics
inside concurrent simulators.
Besides, the data on population, people's behaviours, people's perceptions are
essential in environmental assessments, where the technical aspect is not
counted as much as the common acceptance of impact technology.
We provide a model for building environmental services with open data systems.
A case study is given for getting information from the public about their
relationship with freshwater and its scarcity in Jamaica.
Keywords:
Open Data, Web Semantic, Environment Sensing, Geolocation Data,
Environmental Simulation.
[doi:10.4108/eai.12-5-2020.164496]
[pdf]
[Trieu20a.pdf]