Computing the world’s fish stock

 

Computer experts from the Ontology Engineering Group at the Universidad Politécnica de Madrid’s School of Computing (FIUPM) are working to develop a system to accurately measure the world’s fish stocks.

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The modelling, which is based on ontology, is expected to help prevent stock depletion and overfishing. Ontology is the study of attaching meaning to information and works by creating data models as a set of concepts and then establishing the relationship between them.
 
The work came about as part of the NeOn project (Lifecycle Support for Networked Ontologies) in partnership with the Food and Agriculture Organization of the United Nations (FAO).
 
NeOn is a 14.7 million euro project utilising 14 European partners. The project is working with industries as far apart as pharmaceuticals, agriculture and fisheries, as these industries all have huge volumes of distributed data that are difficult to integrate with current technology.
 

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