Use of Ontologies for Organizing Agricultural Databases

Howard W. Beck
Agricultural and Biological Engineering Department
University of Florida
hwb@ufl.edu

APAN 2003 - Japan

Serveral 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

NEXT >