Evaluation of the Industrial and Social Impacts of Science and Technology Using Patents and News Articles

Shumpei Iinuma, S. Fukuda, Hidetsugu Nanba, T. Takezawa
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引用次数: 1

Abstract

In scientometrics and citation analysis, several measures for evaluating the industrial relevance or the impact of academic research fields have been proposed. What seems to be lacking, however, is that these measures could not evaluate the recent industrial relevance or impact of each field, because most of them rely on citations of research papers in patents and vice versa. In this paper, we attempt to evaluate the industrial and social impact of research fields using document classification techniques. Our method classifies research papers and news articles using systems including the International Patent Classification (IPC) and the KAKEN classification index. Then it evaluates the industrial and social impact of each field by comparing the number of research papers with the number of patents or articles in the IPC categories and the projects funded in each KAKEN category.
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利用专利和新闻文章评价科技的产业和社会影响
在科学计量学和引文分析中,人们提出了几种评估学术研究领域的产业相关性或影响的方法。然而,似乎缺乏的是,这些措施无法评估每个领域最近的工业相关性或影响,因为它们大多数依赖于专利研究论文的引用,反之亦然。在本文中,我们尝试使用文档分类技术来评估研究领域的产业和社会影响。我们的方法使用国际专利分类(IPC)和KAKEN分类索引等系统对研究论文和新闻文章进行分类。然后,它通过比较研究论文数量与IPC类别的专利或文章数量以及每个KAKEN类别资助的项目数量来评估每个领域的工业和社会影响。
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