The step of data interpretation remains the most time-consuming step in the development of electronic systems for early detection of diseases.
An ontology defines a common vocabulary for researchers who need to share information in a domain. It includes machine-interpretable definitions of basic concepts in the domain and relations among them.
A project was launched to develop an Animal Health Surveillance Ontology (AHSO) to facilitate the development of smart systems for data-driven disease surveillance and early disease detection. It will allow the development of systems across different standard coding practices at source.
Project sources:
- Open book with information about the project and background material on ontologies
- GitHub page
- Current codes (owl file)
- Submit a request
If you are interested on resources that help you understand more about ontologies, please visit the first chapter in the "AHSO open book". For information, please contact us at ahso@datadrivensurveillance.org.
AHSO is financed by the Swedish Innovation Agency (Vinnova), and made possible by the Swedish National Veterinary Institute (SVA).
