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Semantic classification of the citations

机译:引文的语义分类

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摘要

In this study the semantic classification of the references/citations of a scientific article according to position within the article is investigated. For this purpose, the article is divided into two major sections: the Introduction/Background section and the rest section which contains the methodology, experimental part, results and conclusion parts. Additionally, the references of an article are divided into two categories: the Self-References and the Citations which are used for the semantic interpretation of the references in combination with the aforementioned geographic partition. For achievement of this, an algorithm was constructed which was implemented using Java programming language and was applied in a numerous articles of open springer journals. Finally, the classification results as well as the interpretation of these should create a new consideration about the contribution of each reference in the knowledge creation specifically in the self-citation case.
机译:在这项研究中,根据文章中文章的位置,对科学文章的参考文献/引用的语义分类进行了研究。为此,本文分为两个主要部分:“简介/背景”部分和其余部分,其中包含方法,实验部分,结果和结论部分。另外,文章的参考文献分为两类:自参考文献和引文,结合上述地理分区,用于对参考文献进行语义解释。为了实现这一目标,构建了一种算法,该算法使用Java编程语言实现,并已在许多开放式弹簧期刊上应用。最后,分类结果以及对这些结果的解释应重新考虑每个参考在知识创造中的贡献,特别是在自引案例中。

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