Research and Implementation on Topic Crawler of Rotating Machinery Fault Knowledge

摘要：

As the general search engine returns too many results, related to the subject is not well, and as peoples requirements increasingly to results,The topic crawler that one can accurately capture and analyze data in the target pages, and can meet the growing requirements of the individual is urgent needed. In this paper, it combined the knowledge of rotating machinery fault and crawler, expanded development and research of rotating machinery fault knowledge. Results showed that the system model can effectively collect the relevant of subjects pages.

关键词： Keywords-Topic crawler relevant of subject segmentation vector space model the knowledge of rotating machinery fault

作者: Zhang Huifu Zhou Yaping Liu Ping Zhou Xiaolan

作者单位: School of Computer Science and Engineering, Hunan University of Science and Technology Xiangtan Huna School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan Hun School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan Hun

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 1464-1467

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）