摘要
互联网的智力资源共享在人们工作学习中发挥了日益重要的作用,而如何协助用户在互联网海量信息中迅速、准确地挖掘到所需求的知识,已经成为智力资源共享系统研究的热点。本文构建了基于agent的web知识发现模型,并讨论了模型实现的相关方法。论文将智能agent技术与数据挖掘技术应用于web知识发现,根据目标特征信息进行有目的的知识提取,通过聚类和分类最终完成信息向知识的转换,以协助完成智力资源共享的最终目标。
Agent - Based intelligent resource sharing has played a vital role in people＇s daily study and lives. How to assist users to discover the knowledge rapidly and accurately in plentiful internet information resources has already became the research key of intelligence resources sharing system. This paper builds up the model of agent - based web knowledge discovering and discusses related methods. The agent technology and the data mining technology have been applied to the web knowledge discovering in the paper. Through discovering knowledge in the information resources, the model completes the transformation of information to knowledge by classifying and clustering, aiming to assist in completing the goal of intelligence resources sharing.
出处
《中国软科学》
CSSCI
北大核心
2006年第8期141-146,共6页
China Soft Science
基金
国家自然科学基金资助项目
