首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Weighting Relations Using Web Search Engine
  • 本地全文:下载
  • 作者:Mizuki Oka ; Yutaka Matsuo
  • 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:2010
  • 卷号:25
  • 期号:1
  • 页码:1-8
  • DOI:10.1527/tjsai.25.1
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:Measuring the weight of the relation between a pair of entities is necessary to use social networks for various purposes. Intuitively, a pair of entities has a stronger relation than another. It should therefore be weighted higher. We propose a method, using a Web search engine, to compute the weight of the relation existing between a pair of entities. Our method receives a pair of entities and various relations that exist between entities as input. It then outputs the weighted value for the pair of entities. The method explores how search engine results can be used as evidence for how strongly the two entities pertain to the relation.
  • 关键词:Web mining ; Relation extraction ; Relation weighting ; Search engine
国家哲学社会科学文献中心版权所有