摘要
互联网为用户提供了一个丰富的信息平台。然而,当前人们对互联网中海量信息的利用主要通过搜索引擎去查询相关的信息,互联网只是作为一个简单的信息库供用户检索。本文研究通过搜索引擎获得互联网信息并且在此基础上进行更高层次的知识挖掘———基于搜索引擎对关键词进行自动聚类。这是一个全新的研究,实验结果表明该方法具有理想的效果和新颖的构思。
Intemet offers a great information platform for the users. However, people mainly use the search engines to query the large information in the Internet, so the Internet is only as the simple information database for the user's querying. This paper focuses on mining the higher-level knowledge from the information returned by the search engine——keywords clustering based on the search engine, which is a novel research. The experiment shows that the way has perfect effect with novel conceive.
出处
《计算机科学》
CSCD
北大核心
2007年第3期162-164,共3页
Computer Science
基金
广东省科技攻关项目(2005B10101033)
(A10202001)
广州市科技攻关项目(2004Z2-D0091)。
关键词
知识搜索引擎
知识挖掘
聚类
Knowledge search engine, Knowledge mining, Clustering