基于Ontology的Multi-Agent信息检索系统模型研究

Study on Multi-Agent information retrieval system model based on Ontology

为了改善现有的基于关键词的信息检索技术不理解语义等局限性,结合Ontology和Multi-Agent理论提出了基于Ontology的Multi-Agent信息检索系统模型,通过实例详细分析了模型的构成、功能及其运行机制,讨论了模型设计中的若干关键技术。该模型能有效地提高信息检索的查准率和查全率,能极大地满足用户的应用需要。

Keyword-based search engine does not comprehend semantics of the information, so it only strictly does the match work. In order to improve this issue, with ontology and multi-agent technology, a multi-agent information retrieval system model based on ontology is put forward, and specific functions of each component are explained by examples. The model can improve the efficiency of information retrieval, and can greatly meet the needs of the application.