基于Agent与个人知识本体的搜索系统研究

传统的信息搜索模型缺乏语义理解。而本体是对共享概念模型的明确的形式化规范说明,提供基于语义的知识表示和共享。本文通过引入个人知识本体,综合利用智能Agent的主动性、协作性、移动性等特性,采用协同式过滤的基本原理,提出了基于Agent与个人知识本体的个人搜索系统,有效地提高了检索效率。文中提出了通过不断的学习用户的反馈信息,对个人知识本体中的概念进行修正的算法,并探讨了多Agent协同信息过滤技术在搜索系统中的应用。

Search System Research Based on Agent and Personal Knowledge Ontology

In the traditional information search models, there is the lack of semantic comprehension. Ontology is a formal, explicit specification of a shared conceptual model. So it can provide to express and share knowledge based on semantics. This paper synthesizes the characteristic of intelligent Agent such as active, collaborative, mobile ete, and adopts the basic principle of collaborative filtering and then puts forward search system based on Agent and personal knowledge ontology by introducing personal knowledge ontology. So that search efficiency is improved. And the paper presents an algorithm which used to fix the concept of personal knowledge ontology by learning user feedback information. It discusses the application of multi-Agent collaborative information filtering in search system.