Framework for Ontology Based Expert Systems : Disease Pests Identification in Crops - A Case Study

摘要

In this paper, we present a framework of ontology-based expert systems. The presented framework is suitable for the semantic web scenario. It provides better results by generating its knowledge base on the fly from the distributed OWL ontologies that exist on the web and maintained by different groups of experts at different geographic locations. Protege is used to create and maintain OWL ontologies. The system embeds an OWL Transformer for transforming the OWL into JessML which is fed to JESS inference engine. The framework does not pose any restriction on the domain experts for regular updating and modifications of these distributed ontologies and is independent of the ontology versions. An ongoing work in the agriculture domain to identify the diseases and pests in different crops using the presented framework is included as a case study to validate the framework.