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作 者:徐庶睿 卢超[1,2] 章成志[1,2,3]
机构地区:[1]南京理工大学信息管理系,南京210094 [2]江苏省社会公共安全科技协同创新中心,南京210094 [3]江苏省数据工程与知识服务重点实验室(南京大学),南京210093
出 处:《情报学报》2017年第8期809-820,共12页Journal of the China Society for Scientific and Technical Information
基 金:国家社会科学基金项目"面向知识创新服务的数据科学理论与方法研究"(No.16ZAD224)
摘 要:跨学科知识转移是学科交叉形成的基础和前提,但是目前通过引证关系挖掘出来的学科交叉仍然无法呈现其内部的交叉点。本文提出结合术语和引文内容探测学科交叉度的研究方法并进行实证分析。首先,采集学术论文并解析引文内容;利用术语集获取术语。然后,统计引文内容中的术语频次和重复率。最后,计算学科交叉度并分析学科交叉点的贡献度。实证研究结果表明:不同类型的学科存在着不同的交叉水平;相似的交叉度之下存在着不同的交叉点。结合术语和引文内容的研究方法能够从内容层面量化研究学科交叉问题,反映学科交叉背后不同程度的知识交叉,相较于基于引证关系的学科交叉研究具有一定的优势。Interdisciplinary knowledge transfer is the basis and prerequisite for the formation of an interdiscipline. Current interdisciplinary research based on citation relations, however, is still unable to present an internal intersec- tion. This paper uses terminology and citation content to explore the degrees of interdisciplinarity. First, articles con- taining a citation context were collected, and the terms extracted. Next, the frequency and repetition rate of the terms in the citation content were calculated. Finally, the degrees of interdisciplinarity and the contributions of the disci- pline intersections were calculated. The results show that different types of disciplines have different degrees of in- terdiseiplinarity, and that different intersections exist under similar degrees. The method described in this study, which combines the terminology and citation content, can be used to quantify interdisciplinary research at the content level. It reflects the degree of knowledge intersection behind interdisciplinarity. Compared with interdisciplinary re- search based on citation relations, the approach has certain advantages.
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