基于模糊规则推理的主题资源搜索系统设计与实现  

Design and Implementation of Theme Based Resource Gathering System Using Fuzzy Rule Reasoning Algorithm

作　　者：徐朝军[1] 李艺[1] 杨晓江[1] 

机构地区：[1]南京师范大学教育技术系,南京210097

出　　处：《情报学报》2009年第6期815-820,共6页Journal of the China Society for Scientific and Technical Information

摘　　要：本文在分析用户网络浏览行为的基础上,从用户的专业知识经验出发设计了用以控制、引导网络蜘蛛行为的专家知识库,利用模糊规则推算法,在进行网页下载的同时对网页中的URL主题相关度进行预测的同时对相应的资源进行模糊规则分类。文章并以基础教育资源搜集为例对该算法进行了实现,通过对先后两个版本的系统性能的分析和比较,结果表明,使用模糊规则推理算法,进行URL相关度预测可以有效提高主题资源搜集的速度,采用二次分类的办法可以进一步提高资源分类的准确度,从而提高主题资源搜索系统的整体性能。After the study of users＇ Internet surfing action and background knowledge, we reorganize users＇ personal domain knowledge to build a knowledge bank to guide the spider＇s crawling behavior. The spider downloads the web pages, predicts each URL＇s relevancy to the specified theme and classify the resources while downloading the web page using the fuzzy rule based reasoning algorithm. We also develop a Basic Educational Resource Gathering System to verify the algorithm we put forward. The experiment shows Fuzzy Rule Reasoning algorithm is very effective in boosting the spider＇s performace and the classification accuracy, so as to impove the whole system＇s efficience distinctly.

关 键 词：模糊规则推理 主题搜索 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G521[自动化与计算机技术—控制科学与工程]