Internet环境下的知识组织和检索方法

Internet环境下随着知识的日益扩充,知识量会越来越庞大。如何从海量知识中快速、有效地检索到用户所需知识的问题越来越突出。而合理、科学的知识分类、组织方法对知识检索又起着决定性的影响。基于以上观点,主要以滚动轴承选型为对象,研究运用成组技术实现知识的分类、组织,通过神经网络技术实现知识的检索,最终为知识的快速、高效检索提供解决方案。

A Method of Knowledge Organization and Searching over the Internet

Within Internet environment ,the knowledge resources have been rapidly expanding and enriching.The issue on how to quickly and effectively search,retrieve a piece of knowledge that meets the users' need from a huge quantity of resource is a challenge.The rational,scientific schemes of knowledge classification and organization have decisive ef-fect on the solution of this issue.In this paper,a knowledge classification method based on Group Technology(GT)is proposed.Using artificial neural networks(ANN),an effect approach of knowledge search is developed.Taking the selec-tion of rolling bearing as an example,the implementations of knowledge classification and search method are demon-strated.The aim of this paper is to provide an effective solution for knowledge organization and search over the Internet.