An up to date Dataset of most Cited Authors and Publications

被引：0
|
作者：
Zemmouchi-Ghomari, Leila [1 ]
Ferhat, Dihya [1 ]
Chellali, Nour el Houda [1 ]
机构：
[1] USTHB, Comp Sci Dept, BP 32 El Alia, Algiers 16111, Algeria
来源：
2016 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT) | 2016年
关键词：
Author citations; publication citations; research field; knowledge base; linked data; web application; API; SPARQL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Literature review is an essential phase in any research work. However, it is tricky and time consuming. A web application that provides most cited authors and publications related to a research field would be of a significant support to researchers when conducting their review work. The aim of this paper is to propose an approach that combines data accessible via the available academic search engine APIs and the rich and constantly up to date knowledge bases that is part of the linked data cloud.
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页数：6
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