Knowledge Base Tool for Enhancing Expert Systems Dialogue

Abstract: Available diagnosis expert systems ask users many questions in order to identify the diseases. These questions are sometimes vague and need more interpretations. Further, using a lot of questions does not satisfy the end-user and turn the expert system to be boring and unfriendly. In this paper, I introduce a tool for building knowledge base. Also, I propose an approach for enhancing expert system dialogue with end-user. The proposed approach was applied in plant diseases. Instead of just asking the end user only text questions, images for different symptoms on different part of the plants are displayed to him. Then the end-user selects the images which are approximate to his plant symptoms. Finally, the system adapts the dialogue. This process is repeated till reaching the final diagnosis. The proposed tool is a web-based, and it adopts XML to store ontology, schema of knowledge base and knowledge base. The proposed tool was applied in building a prototype for barley knowledge base and diagnosis expert system.
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Publication year 2019
Pages 10
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