首页> 外文会议>International Conference on Web Information Systems Engineering >Disambiguating Authors in Academic Search Engines
【24h】

Disambiguating Authors in Academic Search Engines

机译:消除学术搜索引擎的作者

获取原文

摘要

Author name ambiguity is a common problem in current academic search engines. It presents a great challenge: first, it's not convenient for researchers to effectively access the academic publications; second, the author publication profile cannot be induced, thus further meaningful semantic analysis for the author cannot be conducted. In this paper, we present a coauthorship based model to disambiguate the authors, and apply this model into a large academic search engine - Scholat Search, which proves to be effective and efficient.
机译:作者名称歧义是当前学术搜索引擎中的常见问题。它提出了一个巨大的挑战:首先,研究人员有效访问学术出版物并不方便;其次,不能引起作者出版概况,因此不能进行作者的进一步有意义的语义分析。在本文中,我们展示了一个基于同革的模型来消除作者,并将这一模型应用于大型学术搜索引擎 - Scholat搜索,这被证明是有效和高效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号