Semantic Cyberspace of Scientific Papers

M. Charnine, S. Klimenko
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引用次数: 3

Abstract

In this paper we describe a cyberspace of scientific papers, in which the most cited and significant documents are represented by a large size and the distance between documents is proportional to their semantic similarity. A new measure of semantic similarity of documents is proposed that is determined by the maximum correlation between explicit and implicit connectivity of the documents. A new science contextual citation index (SCCI) that is defined by a correlation maximum with a science citation index (SCI) is proposed and implemented. SCCI can more accurately measure scientific impact, find significant documents and evaluate new articles with zero SCI. SCCI also can be used in subject areas that do not have formal references. The proposed cyberspace more accurately displays semantic similarity between significant articles.
科技论文的语义网络空间
在本文中,我们描述了一个科学论文的网络空间,其中被引用最多和最重要的文档用大尺寸表示,并且文档之间的距离与它们的语义相似度成正比。提出了一种新的文档语义相似度度量方法,该方法由文档的显式连接和隐式连接之间的最大关联来确定。提出并实现了一种新的科学上下文引文索引(SCCI),该索引通过与科学引文索引(SCI)的关联最大值来定义。SCCI可以更准确地衡量科学影响,发现重要文献和评估零SCI的新文章。SCCI还可以用于没有正式参考文献的主题领域。所提出的网络空间更准确地显示了重要文章之间的语义相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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