- APAN 2003 - Japan - Jan 23, 2003
Several examples of designs for agricultural databases that incorporate ontologies will be presented. The examples include a database of agricultural extension publications, a content manager for agricultural educational materials, a database of dynamic simulations of irrigation, nutrient management, and other processes, and a database for agricultural decision support systems. The general architecture of all these applications is based on an object database that is enhanced with a description logic-based language for representing the semantics of concepts within the application domain. The formal language is also used to construct an ontology that provides a terminological basis for referring to concepts in the domain. Advantages of incorporating an ontology include better ways of representing concepts, ability to support natural language-based references to objects, graphic browsing based on data visualization of ontologies, and ontology assisted search.
Introduction
Formal Languages for Ontologies
Extension Publications
Agricultural Education
Crop Modeling
Agricultural Decision Support Systems
FIeld/Grove Object Data Model
Workflow
Software Development Tools
Web Development Tools
Next Steps
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