A Focused Crawler Based On Relevance Analysis

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	A Focused Crawler Based On Relevance Analysis
	Peng, Xin1 ; Qin, Qiuli 1; He, Saike2
	2013-06-01
会议名称	17th International Conference on Industrial Engineering Theory, Applications and Practice (IJIE)
会议录名称	17th International Conference on Industrial Engineering Theory, Applications and Practice (IJIE)
会议日期	2013-6-1 ~ 2013-6-2
会议地点	Busan, Korea
摘要	With the rapid development of network and information technology, there are huge amounts of data on the internet. But the major problem faced by researchers is how to filter out information on specific fields among them efficiently. In this paper, we try to build a focused crawler based on VSM (Vector Space Model) and TF-IDF (Term Frequency - Inverse Document Frequency) text correlation analysis. Particularly, we primarily take the seed URL as a collection entrance and fetch web pages from internet. Then we analyze page information though technologies, such as web content extraction, page link analysis technology. So we ultimately get the main content of the page. Through correlation analysis method based on VSM and TF-IDF, we calculate the relevance between pages and topics that have been defined, to get information we need.
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10782
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Peng, Xin
作者单位	1.School of Economics and Management Beijing Jiaotong University 2.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Peng, Xin,Qin, Qiuli,He, Saike. A Focused Crawler Based On Relevance Analysis[C],2013.

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