Challenges in Modelling of Environmental Semantics
Modelling environmental semantics is a prerequisite for model and data interoperabilty and reuse, both essential for integrated modelling. This paper previews a landscape where integrated modelling activities are performed in a virtual environmental information space, and identifies challenges imposed by the nature of integrated modelling tasks and new technology drivers such as sensor networks, big data and high-performance computing. A set of requirements towards a universal framework for sharing environmental data and models is presented. The approach is demonstrated in the case study of a semantic modelling system for wildlife monitoring, management and conservation.
Download full text in pdf format
I. N. Athanasiadis, Challenges in Modelling of Environmental Semantics, Environmental Software Systems, Infrastructures, Services and Applications (ISESS 2015), IFIP Advances in Information and Communication Technology, vol. 448, pg. 19-25, 2015, Springer, doi:10.1007/978-3-319-15994-2_2.
You might also enjoy (View all publications)
- Learning long-term crop management strategies with CyclesGym
- Rapid turnover of sensor data to genetic evaluation for dairy cows in the cloud
- Mixing process-based and data-driven approaches in yield prediction