基于本体和关联数据的全文引文分析方法研究

图书馆杂志 ›› 2021, Vol. 40 ›› Issue (4): 100-108.

基于本体和关联数据的全文引文分析方法研究

石泽顺肖明

出版日期:2021-04-23 发布日期:2021-04-23
作者简介:石泽顺北京师范大学政府管理学院，硕士研究生。研究方向：语义网、信息计量。作者贡献：设计论文整体研究思路并撰写论文。E-mail：shizs10@lzu. edu.cn 北京 100875 肖明北京师范大学政府管理学院，教授。研究方向：语义网、信息计量。作者贡献：修改论文，补充论据以及进行实验指导。北京 100875

Research on Full-text Citation Analysis Method Based on Ontology and Linked Dat

Shi Zeshun, Xiao Ming

Online:2021-04-23 Published:2021-04-23

摘要/Abstract

摘要： 针对传统引文分析法中存在的缺陷，提出了基于本体和关联数据的全文引文分析方法，以期利用本体和关联数据技术来揭示学术文献之间的全文引用关系，实现全新视角下的引文分析。首先选取《科学计量学》杂志引文分析领域的高被引文献组成实验数据集，并对全文引用信息进行抽取和标注。接着构建全文引文本体FCO对引文数据进行规范化描述，并发布为引文关联数据。最后，构建不同的SPARQL检索式对全文引用信息进行多维度抽取，对数据集的引文数量、引文功能、引文情感和引文位置的分布情况进行具体分析，实验验证基于本体和关联数据的全文引文分析方法的可行性。实验表明基于本体和关联数据的全文引文分析方法具有一定的可行性和实用性，对传统引文分析法的优化和全文引文分析方法的普及有着重要意义。

Abstract: This paper proposed a full-text citation analysis method based on ontology and linked data technology, aiming to reveal the full-text citation relationship between academic literature, and to achieve a new perspective of citation analysis. First of all, we selected high-cited papers in the “citation analysis” field of the Scientometrics journal to construct experimental data sets, and extracted the full-text citation data between citing papers and cited papers. Then, a Full-text Citation Ontology (FCO) was constructed to normalize the data and publish RDF triples as citation linked data. Finally, we constructed different SPARQL queries to extract the full-text citation information in multiple dimensions. We also analyzed the citation numbers, citation functions, citation sentiments, and citation locations in detail, hoping to verify the feasibility of this method. We found that our full-text citation analysis method has certain feasibility and practicability, which is of great significance to the optimization of the traditional citation analysis method and the popularity of the full-text citation analysis method.

石泽顺肖明. 基于本体和关联数据的全文引文分析方法研究 [J]. 图书馆杂志, 2021, 40(4): 100-108.

Shi Zeshun, Xiao Ming. Research on Full-text Citation Analysis Method Based on Ontology and Linked Dat[J]. Libraly Journal, 2021, 40(4): 100-108.

参考文献

[ 1 ] 邱均平. 信息计量学(九)第九讲文献信息引证规律和引文分析法[J]. 情报理论与实践, 2001, 24(3): 236-240. [ 2 ] 祝清松. 语义增强的引文分析方法与应用实验研究[D]. 北京: 中国科学院大学, 2014. [ 3 ] Ding Y, Zhang G, Chambers T, et al. Content-based citation analysis: The next generation of citation analysis[J]. Journal of the Association for Information Science and Technology, 2014, 65(9): 1820-1833. [ 4 ] 赵蓉英, 曾宪琴, 陈必坤. 全文本引文分析——引文分析的新发展[J]. 图书情报工作, 2014, 58(9): 129-135. [ 5 ] Berners-Lee T. Linked Data[EB/OL]. [2018-04-02]. https://www.w3.org/DesignIssues/LinkedData.html. [ 6 ] 石泽顺, 肖明. 基于PoolParty的图情学科SKOS叙词表构建研究[J]. 图书馆学研究, 2017(23): 20- 30. [ 7 ] 郑巧. 基于引文关联数据服务的学术期刊资源建设[J]. 图书馆界, 2015(6): 9-11. [ 8 ] 石泽顺, 肖明. 基于RelFinder的图情学科关联数据语义关系发现实践[J]. 图书情报工作, 2017, 61(17): 139-148. [ 9 ] Garfield E. Can Citation Indexing Be Automated[C]. Statistical Association Methods for Mechanized Do cument at i on, Sy mpo sium Proc ee di ngs, Washington, 1964: 189-192. [10] Weinstock M. Citation indexes (part 1). Encyclopedia of Library and Information Science[M]. New York: Marcel Dekker, 1971: 16-40. [11] Lipetz B A. Improvement of the selectivity of citation indexes to science literature through inclusion of citation relationship indicators[J]. American Documentation, 1965, 16(2): 81-90. [12] Thorne F C. The citation index: another case of spurious validity[J]. Journal of Clinical Psychology, 1977, 33(4): 1157-1161. [13] Brooks T A. Private acts and public objects: an investigation of citer motivations[J]. Journal of the American Society for Information Science, 1985, 36(4): 223-229. [14] Vinkler P. A quasi-quantitative citation model[J]. Scientometrics, 1987, 12(1): 47-72. [15] Bonzi S, Snyder H W. Motivations for Citation-A Comparison of Self Citation and Citation to Others[J]. Scientometrics, 1991, 21(2): 245-254. [16] Liu M. A study of citing motivation of Chinese scientists[J]. Journal of Information Science, 1993, 19: 13-23. [17] Case D O, Higgins G M. How Can We Investigate Citation Behavior? A Study of Reasons for Citing Literature in Communication[J]. Journal of the American Society for Information Science, 2000, 51(7): 635-645. [18] Tang R, Safer M A. Author-Rated Importance of Cited References in Biology and Psychology Publications[J]. Journal of Documentation, 2008, 64(2): 246-272. [19] Zhang G, Ding Y, Stasa Milojevic. Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content[J]. Journal of the Association for Information Science and Technology, 2013, 64(7): 1490-1503. [20] 胡志刚. 全文引文分析方法与应用[D]. 大连: 大连理工大学, 2014. [21] 陆伟, 孟睿, 刘兴帮. 面向引用关系的引文内容标注框架研究[J]. 中国图书馆学报, 2014, 40(6): 93- 104. [22] Scientometrics: An International Journal for all Quantitative Aspects of the Science of Science, Communication in Science and Science Policy[EB/ OL]. [2018-04-02]. https://link.springer.com/ journal/11192. [23] Shotton D. CiTO, the Citation Typing Ontology[EB/ OL]. [2018-04-20]. https://jbiomedsem. biomedcentral.com/articles/10.1186/2041-1480-1- S1-S6. [24] Burrough-Boenisch J. International reading s t r a t e g i e s f o r I M R D a r t i c l e s [ J ] . W r i t t e n Communication, 1999, 16(3): 296-316. [25] 石泽顺, 肖明. 基于网络叙词表的图情学科SKOS 构建与可视化研究[J]. 情报学报, 2018, 37(3): 274-284.