juicer: scalable extraction for thread meta-information of web forum

ISCAS OpenIR > 2009年期刊/会议论文

	juicer: scalable extraction for thread meta-information of web forum
	Guo Yan; Wang Yu; Ding Guodong; Cao Donglin; Zhang Gang; Lv Yi
	2009
会议名称	Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2009
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	143-148
会议日期	April 27,
会议地点	Bangkok, Thailand
收录类别	ei,acm
出版地	Germany
ISSN	3029743
ISBN	9783642013928
部门归属	(1) Institute of Computing Technology, Chinese Academy of Sciences, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China
摘要	In Web forum, thread meta-information contained in list-ofthread of board page provide fundamental data for the further forum mining. This paper describes a complete system named Juicer which was developed as a subsystem for an industrial application that involves forum mining. The task of Juicer is to extract thread meta-information from board pages of a great many of large scale online Web forums, which implies that scalable extraction is required with high accuracy and speed, and minimal user effort for maintenance. Among so many existed approaches about information extraction, we can not find any approach to fully satisfy the requirements, so we present simple scalable extraction approach behind Juicer to achieve the goal. Juicer is constituted by four modules: Template generation, Specifying labeling setting, Automatic extraction, Label assignment. Both experiments and practice show that Juicer successfully satisfied the requirements.
关键词	Mining
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8478
专题	2009年期刊/会议论文
推荐引用方式 GB/T 7714	Guo Yan,Wang Yu,Ding Guodong,et al. juicer: scalable extraction for thread meta-information of web forum[C]. Germany,2009:143-148.