基于多Agent多层次概念关系网络的知识检索模型研究

随着网络信息的增长，智能知识检索已成为检索技术未来的发展目标与趋势。Agent技术与多层次概念检索技术已广泛应用于知识检索．在这两种技术基础上提出的多Agent的多层次概念关系网络的知识检索模型充分利用了Agent的主动性、学习性、智能性以及概念关系网络的语义关联性、动态性、继承性等特征．实现智能化、个性化的知识检索．具有广泛的应用前景。

Research on the Knowledge Retrieval Model Based on Multi-Agent and Multi-layer Conceptual Relation Networks

With the increase of interact information, intelligent knowledge retrieval becomes the target and tendency of retrieval technique in the future. Agent technique and conceptual retrieval technique have been extensively used in knowledge retrieval. On the basis of this two technique, fully using of the initiative.study.intelligent quality of Agent and the semantic connection.dynamic.inheritance quality of conceptual relation networks,this article puts forward the model of knowledge retrieval based on multi-Agent and multi-layer conceptual relation networks. It is an intelligent and individual knowledge retrieval model which has a wide-ranging application perspective.