A Research on Predicting the Operation Function for the Workflow-Based Knowledge Management Software

This paper proposes predicting the operation function (POF) for the workflow-based knowledge management software. POF is a function of the system that can estimate the documents which software users want to see and provides the users not only with proper documents but also unexpected knowledge which another users operation reflected. The system stores the log data of operation and judge which documents are needed from the viewpoint of the present user's characteristics and everyone's behavior. The simulation experiment with real data concerning the On-Demand Bus project shows that users' behavior is strongly related with the previous actions and the POF can improve the usability of the knowledge management software.