文章基本信息

标题：Extracting Inter-business Relationship from World Wide Web
本地全文：下载
作者：YingZi Jin ; Yutaka Matsuo ; Mitsuru Ishizuka 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2007
卷号：22
期号：1
页码：48-57
DOI：10.1527/tjsai.22.48
出版社：The Japanese Society for Artificial Intelligence
摘要：Social relation plays an important role in a real community. Interaction patterns reveal relations among actors (such as persons, groups, companies), which can be merged into valuable information as a network structure. In this paper, we propose a new approach to extract inter-business relationship from the Web. Extraction of relation between a pair of companies is realized by using a search engine and text processing. Since names of companies co-appear coincidentaly on the Web, we propose an advanced algorithm which is characterized by addition of keywords (or we call relation words ) to a query. The relation words are obtained from either an annotated corpus or the Web. We show some examples and comprehensive evaluations on our approach.
关键词：WWW ; social network ; information extraction ; search query ; relation extraction