This paper presents a web-based system for knowledge engineering and management. The system consists of three components: data preprocessing,
machine learning, and rule-based classifier generator.
The only requirement from end users is data sets stored in CSV (Comma Separated Value) format. The system integrates data base systems, rule-based systems, and machine learning systems with a web-based interface to provide an easily accessible and managable knowledge engineering tool that can release end users from any programming burdens.
