Paper
A New Approach for Developing Diagnostic Expert Systems on Mobile Phones
- Authors:
- Mohammed El-Helly; Yasser Abdelhamid
- Abstract
- Mobile phones are nowadays the most popular and widely used means of communication for its compact size, versatility, and ease of handling. Expert systems (ESs) are intelligent software applications that utilize acquired expertise from experts in a specific domain to provide advice to its users through a dialog or a conversation conducted between the user and the ES application. This research project is supported by the deanship of scientific research at Tabuk University in KSA for providing expert system services through Mobile phones. Mobile phones are frequently referred to as “Constrained Computing Devices” for its limited processing, storage and display capabilities. This paper introduces a new diagnosis problem solving model based on analysis of the relations between symptoms and disorders in the form of certainty and severity factors. The paper also introduces a customized knowledge representation suitable for mobile phones limited capabilities using XML language. The proposed model has been developed successfully and tested in the domain of agriculture using real knowledge base acquired by the Central Lab for Agricultural Expert Systems (CLAES) for the Strawberry crop. The obtained results demonstrate the robustness and efficiency of the proposed model.
- Keywords
- Mobile Expert System Applications; Agricultural Expert Systems; Knowledge Representation; Uncertainty; Problem Solving Method
- StartPage
- 374
- EndPage
- 384
- Doi