Knowledge-based workflow management system

Abstract

The invention relates to a knowledge-based workflow management system. The system comprises a process definition file, a system component library, a flow controller, an event processor, a task controller, a database interaction layer and a knowledge library reasoning machine, wherein the process definition file is defined according to the actual operation flow of a user and can be explained by a workflow engine; the workflow engine assembles a workflow instance according to the contents of the file; the system component library comprises the definitions of various components which are needed in a process definition; the components are mainly divided into marks, activities and routes; the flow controller provides various functions of initiating a flow, starting the flow, finishing the flow and terminating the flow in system flow control; and the event processor provides the definitions and system defaults of various events which are probably generated by the workflow engine in the process of executing the workflow. The process definition file can be automatically modified according to flow organization knowledge which is stored in the knowledge library in the process of constructing application, and the flow can be operated again. Therefore, the working load of system maintenance is reduced, and the cost of the user is lowered.

Description

1. Technical field [0001] The present invention relates to knowledge engineering and workflow management systems. 2. Background technology [0002] Workflow management system WfMS (Workflow Management System) is an important branch of the computer integrated manufacturing system and enterprise resource planning research field. It has been proved by practice that it can greatly improve the efficiency of the management process. , groupware applications and business process reengineering. But there are two big problems in the application of workflow management system at present. [0003] 1. It is self-contained and there is no consistent standard. At present, the research on workflow management system mainly stays in the specific application, and there is no complete and general architecture. Now a few companies have developed workflow management systems that can adapt to various environments, but these workflow management systems are implemented according to their own desig...

AI Technical Summary

Problems solved by technology

At present, a few companies have developed workflow management systems that can adapt to various environments, but these workflow management systems are implemented according to their own designs, and there is no consistent standard

[0004] 2. Most of the existing workflow management systems lack flexibility and scalability, lack of flexibility in the representation mechanism of the process model and system control, and cannot automatically adapt to changes in the actual process of execution, which hinders the process to a certain extent development of the system

It is undeniable that self-organizing process is the most advanced stage in the development of intelligent workflow management system, but this technology is not practical until the knowledge in the knowledge base system is expanded to a certain stage

Because, at present, the business processing processes of most industries have formed certain standards, and the processes generated through self-organization often do not meet these standards, so it is difficult to apply in practice

Images