A Structure of Problem-Solving Methods for Real-time Decision Support: Modeling Approaches Using PROTÉGÉ-II and KSM

The paper presents a case study that compares two of the existing knowledge modeling platforms: PROTÉGÉ-II and KSM. These two software environments allow a developer to build a knowledge level model and to create the final operational version. Both environments have been used to develop real world models (e.g., for medical and traffic domains respectively). In the paper, we first describe a knowledge model following the KADS methodology that has been defined to carry out real-time decision support tasks in domains such as traffic control. Then, we present how the model is defined and operationalized using, first, the PROTÉGÉ-II environment and, second, the KSM environment. Finally, we discuss similarities and differences between both approaches.