2. Case library development process
—The goal of this process is to develop and maintain a large-scale case library that will adequately support the domain in question.
3. System operation process
—This process is based on standard software engineering and relational database management procedures. Its goal is to define the installation, deployment, and user support of the knowledge application system.
4. Database mining process
—This process uses rule-inferencing techniques and statistical analysis to analyze the case library. This step could help infer new relationships between the data, which could be articulated to enhance the knowledge application system.
5. Management process
—This process describes how the project task force will be formed and what organizational support will be provided to the project.
6. Knowledge transfer process
—This process describes the incentive systems that will be implemented to encourage user acceptance and support of the knowledge application system. This step will ensure that users will feel compelled to augment the case library with new cases.