In the context of the Virtual Laboratory e-Science project, the members of the Adaptive Information Disclosure and several Food Informatics groups have teamed up to create new applications for food informatics. The initial focus has been on identifying areas of food research that can benefit from the application of semantic web, information retrieval, and machine learning techniques. A recurrent theme is the management of miscellaneous resources related to an area of study such as literature , assorted data, and associated semantic models. Another research question is how to leverage existing knowledge that is in the form of vocabularies, ontologies, and rules. In all cases, we would like to represent various forms of knowledge and link it to both private and public data resources for the enhanced retrieval and discovery of knowledge.
The members of the Food Informatics consortium in 2008:
- TNO
- Top Institute Food and Nutrition
- Unilever
- Wageningen UR — Agrotechnology & Food Innovations
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