基于本体的多Agent信息检索系统模型探析

Research of Multi-Agent Information Retrieval System Model Based on Ontology

传统的信息检索技术是基于关键字而不是基于内容的,它的查全率和查准率都有待提高.本体具有通过概念之间的关系来表达概念语义的能力,将它引入信息检索系统能够提高检索的查全率和查准率,而智能Agent能给传统的信息检索系统带来智能化和个性化.本文将两种技术相结合,提出了一种基于本体的多Agent信息检索系统模型,并给出了它的框架结构和功能设计.

The traditional ones are based on the keyword, not on content, and its Recall and Precision are waiting for enhancement. Ontology has the ability to express semantic meaning by describing the relationship among concepts, so it can enhance information retrieval system＇s Recall and Precision. Moreover, intelligent agent can bring information retrieval system intelligentization and individuation. In view of this, the author proposes a multi-agent information retrieval system model based on ontology, its framework and function design.