Indirectly driven knowledge modelling in ecology
We describe collaborative efforts among a group of knowledge representation experts, domain scientists, and scientific information managers in developing knowledge models for ecological and environmental concepts. The development of formal, structured approaches to knowledge representation used by the group (i.e., ontologies) can be informed by evidence marshalled from unstructured approaches to knowledge representation and semantic tagging already in use by the community.
D. D. Pennington, I. N. Athanasiadis, S. Bowers, S. Krivov, J. Madin, M. Schildhauer, F. Villa, Indirectly driven knowledge modelling in ecology, International Journal of Metadata, Semantics and Ontologies, 3:210-225, 2008, doi:10.1504/IJMSO.2008.023569.
You might also enjoy (View all publications)
- The flows of nature to people, and of people to nature: applying movement concepts to ecosystem services
- Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components
- CropGym: a Reinforcement Learning Environment for Crop Management