提出了一种在知识融合框架结构中建立根据应用结果进行反馈评估和参数校正的机制.相关的知识资源对象和应用需求描述通过本体论方法被表示为知识空间中的对象节点;根据知识融合的特点建立了知识对象的评价参数体系,提出了基于反馈和参数校正机制的自适应模块;分析了该模块与其他模块之间的层次关系,仿真实验说明了该机制的合理性.
A new knowledge fusion system with feedback evaluation and parameter adaptation mechanisms is presented. Knowledge resources and application requirements are all represented as node objects in the knowledge space with ontology technology. An evaluation parameter system of knowledge objects is established based on characters of knowledge fusion. The relation between the proposed feedback- adaptation mechanism and other modules in a knowledge fusion system is discussed. Experimental results of simulation cases show the validity and feasibility of the proposed mechanism.