DSN:面向研究社区的基于知识的学者网络实践

Juan Zhao, Kejun Dong, Jianjun Yu, Wei Hu
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引用次数: 1

摘要

在本文中,我们通过建立一个庞大的科学家知识库,对科研社区进行了基于知识的学者网络实践,称为科研社交网络(Research Social Networking,简称DSN)。本文讨论了学者消歧和关系提取等关键技术,并对其进行了性能评价。DSN系统已实施并与小鸭云服务集成,称为“研究在线”,拥有6万多名科学家,10万多篇论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DSN: A Knowledge-Based Scholar Networking Practice Towards Research Community
In this paper, we carry out a knowledge-based scholar network practice towards Research community, named Research Social Networking, shortly DSN, by setting up a large knowledge base of scientists. We discuss key technologies in the paper, including scholar disambiguation and relationship extraction with the better performance evaluation than traditional methods. The DSN system has been implemented and integrated with Duckling cloud service, known as Research Online, with more than 60 thousand scientists and 100 thousand papers.
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