最被引用的作者和出版物的最新数据集

Leila Zemmouchi-Ghomari, Dihya Ferhat, Nour el houda Chellali
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引用次数: 0

摘要

文献综述是任何研究工作中必不可少的一个阶段。然而,它是棘手和耗时的。提供与研究领域相关的被引用最多的作者和出版物的web应用程序将对研究人员进行审查工作提供重要支持。本文的目的是提出一种方法,将可通过可用的学术搜索引擎api访问的数据与作为关联数据云一部分的丰富且不断更新的知识库相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An up to date dataset of most cited authors and publications
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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