Semantics driven process control mechanism for decision-making

Abstract

Semantics involved in the decision-making process are introduced as driven force for decision support system in order to solve the key problem of lacking effective control mechanism during the decision-making. Decision process control could be divided into three stages: decision task decomposition, decision process programming and decision task scheduling. In first stage, system evaluated that decision task could find out whether there was a decision model which can solve the task or not according to the domain ontology described semantics of decision task and decision model. And then the decision task which can not solve by existing decision models would be decomposed into subtasks according to its semantics. Further, system can program the timing semantics of decision task and organization relationships between decision tasks in second stage. Finally, we presented the preorder task scheduling algorithm and interruption task scheduling algorithm through timing semantics and organization relationships for decision process control.