Multiagent systems and societies of agents
Multiagent systems
Validation, Verification, and Testing of Computer Software
ACM Computing Surveys (CSUR)
Tools for World Wide Web based legal decision support systems
Proceedings of the 8th international conference on Artificial intelligence and law
CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
Efficient delivery of web services
Efficient delivery of web services
Editorial: Assuring quality of web-based applications
Information and Software Technology
An Architecture and Framework for Agent-Based Web Applications
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Development of a web-based application for agroforestry planning and tree selection
Computers and Electronics in Agriculture
A multiagent approach for diagnostic expert systems via the internet
Expert Systems with Applications: An International Journal
Web-based expert systems: benefits and challenges
Information and Management
Extensible Prototyping for pragmatic engineering of knowledge-based systems
Expert Systems with Applications: An International Journal
An MDA approach to knowledge engineering
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
Software architecture knowledge for intelligent light maintenance
Advances in Engineering Software
Hi-index | 12.05 |
Web-based expert system development has been considered as complex, multidisciplinary and knowledge driven process. This paper presents a framework for development of web-based expert system with integrated approach of MAS-CommonKADS agent-oriented methodology, Model-View-Controller (MVC) architecture and web applications optimization strategies to deal with complexity of development and to achieve high usability. Study will guide in software engineering of developing such system with respect to Internet Technologies. Application of proposed framework for developing web-based expert system in sugarcane disorder diagnosis has been demonstrated. Results indicate that proposed methodology better deal with complexity of web-based expert system development and usability.