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송용욱,이제규 한국지능정보시스템학회 2000 지능정보연구 Vol.6 No.1
This paper analyzes the approaches of Web-based expert systems by comparing their pros and cons, and proposes a methodology of implementing the Web-based backward inference engines with reduced burden to Web servers. There are several alternatives to implement expert systems under the WWW environment: CGI, Web servers embedding inference engines, external viewers, Java Applets, and HTML. Each of the alternatives have advantages and disadvantages of each own in terms of development and deployment, testing, scalability, portability, maintenance, and mass service. Especially, inference engines implemented using HTML possess relatively large number of advantages compared with those implemented using other techniques. This paper explains the methodology to present rules and variables for backward inference by HTML and JavaScript, and suggests a framework for design and development of HTML-based Expert Systems. A methodology to convert a traditional rule base to an Experts Diagram and then generate a new HTML-basedExpert System from the Experts Diagram is also addressed.