Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication's Contribution
Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication's Contribution
复制标题
迈向语义计量学：一种新的基于语义相似性的评估研究出版物贡献的方法
DOI：
10.1045/november14-knoth
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Drahomira Herrmannova
中科院分区：
文献类型：
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作者：
Petr Knoth;Drahomira Herrmannova
我们提出了Semantometrics，一类新的指标，用于评估研究。与现有的文献计量学、网络计量学、Altmetrics等不同，语义计量学不是基于测量学术交流网络中的互动数量，而是建立在需要全文来评估出版物价值的前提下。本文提出了第一个语义测量，估计的研究贡献。我们测量引用网络中连接的出版物的语义相似性，并使用一个简单的公式来评估它们的贡献。我们进行了一项试点研究，在一个小的数据集上测试我们的方法，并讨论了在现有的引文数据集上进行分析的挑战。结果表明，语义相似性的措施，可以用来提供有意义的信息的研究论文的贡献，是不是纯粹基于引用的传统影响措施捕获。
We propose Semantometrics, a new class of metrics for evaluating research. As opposed to existing Bibliometrics,Webometrics, Altmetrics, etc., Semantometrics are not based on measuring the number of interactions in the scholarly communication network, but build on the premise that full-text is needed to assess the value of a publication. This paper presents the first Semantometric measure, which estimates the research contribution. We measure semantic similarity of publications connected in a citation network and use a simple formula to assess their contribution. We carry out a pilot study in which we test our approach on a small dataset and discuss the challenges in carrying out the analysis on existing citation datasets. The results suggest that semantic similarity measures can be utilised to provide meaningful information about the contribution of research papers that is not captured by traditional impact measures based purely on citations.