图书情报工作 ›› 2020, Vol. 64 ›› Issue (1): 80-92.DOI: 10.13266/j.issn.0252-3116.2020.01.011

• 图书情报与档案管理前沿热点专辑 • 上一篇    下一篇

中外情报学论文创新性特征研究

曹树金, 闫欣阳, 张倩, 卓伊玲   

  1. 中山大学资讯管理学院 广州 510006
  • 收稿日期:2019-12-03 出版日期:2020-01-05 发布日期:2020-01-05
  • 作者简介:曹树金(ORCID:0000-0003-1855-4522),教授,博士生导师,E-mail:caosj@mail.sysu.edu.cn;闫欣阳(ORCID:0000-0001-8436-1927),硕士研究生;张倩(ORCID:0000-0002-6390-6112),硕士研究生;卓伊玲(ORCID:0000-0001-7522-6328),硕士研究生。
  • 基金资助:
    本文系国家社会科学基金重大项目"基于特定领域的网络资源知识组织与导航机制研究"(项目编号:12&ZD222)研究成果之一。

Research on Characteristics of Innovation in Chinese and International Academic Literature of Information Science

Cao Shujin, Yan Xinyang, Zhang Qian, Zhuo Yiling   

  1. School of Information Management, Sun Yat-sen University, Guangzhou 510006
  • Received:2019-12-03 Online:2020-01-05 Published:2020-01-05

摘要: [目的/意义] 综合运用定性与定量相结合的方法对近年中外情报学论文的创新性进行分析和对比,揭示情报学领域研究的创新性特征,发现领域学术论文中创新句内部的知识关系,进行更细粒度的论文创新性分析,为研究领域创新点深层次利用提供条件,同时丰富科技论文创新性监测的途径,促进科学研究创新。[方法/过程] 从句子级创新性识别出发,选取中英文各两种情报学期刊作为样本,采用信息抽取和机器学习的方法,将创新句的抽取从现有的摘要扩展到全文,充分利用句子结构和句法特征识别领域创新内容,探讨近年中外情报学论文在创新对象、主题、类别等方面的特征,并做对比分析,最后通过对自动分类的论文集合进行定性的内容分析,总结归纳出中外情报学论文创新的表达范式。[结果/结论] 从创新的表达来看,中外情报学论文创新句的分布情况基本一致,英文期刊论文创新的表达更丰富。从创新性特征来看,英文情报学期刊论文创新主题较集中,而中文主题多样和分散;具体方法的创新是近年情报学领域的创新热点,而在研究方法上创新不足;中英文情报学期刊论文的创新性特点都反映了应用研究、实证研究的成果较多,而理论创新推动缓慢的趋势。

关键词: 创新性特征, 学术论文, 句法解析, 句子分类

Abstract: [Purpose/significance] This paper comprehensively uses qualitative and quantitative methods to analyze and compare the innovative features and expression paradigms of Chinese and foreign information science papers in recent years, thus revealing the innovative characteristics of papers in the field of information science, discovering the knowledge relationship within the innovative sentences, and conducting a more fine-grained analysis of the innovation of the papers, which provides conditions for the discovery and utilization of innovations in the research field, and at the same time, enriches the ways of innovation monitoring of research papers and promotes scientific research innovation.[Method/process] Starting from the sentence-level innovative identification, two kinds of information science journals in Chinese and English are selected as samples, and the methods of NLP and machine learning are used to the process of information extraction and classification. This paper extended the extraction of innovative sentences from the existing abstract to the full text, moreover made full use of sentence structure and syntactic features to identify innovative content in the field, and explored the characteristics of Chinese and foreign information science papers in terms of innovation objects, themes, categories, etc., meanwhile made a comparative analysis. Finally, through qualitative analysis of the automatic classification of document collections, the paper summarized the expression paradigms of the innovation of Chinese and foreign papers.[Result/conclusion] From the expression of innovation points, the distribution of innovative sentences in Chinese and foreign information science papers is basically the same. The expression of innovation in foreign papers is richer. In terms of the characteristics of innovation, the innovation topics of foreign information science journals are concentrated, while the Chinese ones are diversified and scattered. The innovation of specific methods is a hot spot in the field of information science in recent years. The innovation characteristics of both Chinese and foreign information science journal papers reflect the results of applied research and empirical research are richer, while the trend of theoretical innovation is slow.

Key words: characteristics of innovation, academic literature, dependency parsing, classification of sentences

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