Web of Scholars: A Scholar Knowledge Graph

被引：32

作者：

Liu, Jiaying ^{[1
]}

Ren, Jing ^{[1
]}

Zheng, Wenqing ^{[1
]}

Chi, Lianhua ^{[2
]}

Lee, Ivan ^{[3
]}

Xia, Feng ^{[4
]}

机构：

[1] Dalian Univ Technol, Sch Software, Dalian, Peoples R China

[2] La Trobe Univ, Sch Engn & Math Sci, Bundoora, Vic, Australia

[3] Univ South Australia, UniSA STEM, Adelaide, SA, Australia

[4] Federat Univ Australia, Sch Sci Engn & IT, Ballarat, Vic, Australia

来源：

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) | 2020年

基金：

中国国家自然科学基金;

关键词：

Web of Scholars; knowledge graph; relationship mining;

D O I：

10.1145/3397271.3401405

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, we demonstrate a novel system, namely Web of Scholars, which integrates state-of-the-art mining techniques to search, mine, and visualize complex networks behind scholars in the field of Computer Science. Relying on the knowledge graph, it provides services for fast, accurate, and intelligent semantic querying as well as powerful recommendations. In addition, in order to realize information sharing, it provides open API to be served as the underlying architecture for advanced functions. Web of Scholars takes advantage of knowledge graph, which means that it will be able to access more knowledge if more search exist. It can be served as a useful and interoperable tool for scholars to conduct in-depth analysis within Science of Science.

引用

页码：2153 / 2156

页数：4