文章摘要
毛文山,赵红莉,蒋云钟,段浩,郝震.基于文献计量学的国内水生态环境研究知识图谱构建与应用[J].水利学报,2019,50(11):1400-1416
基于文献计量学的国内水生态环境研究知识图谱构建与应用
Construction and application of knowledge graph of domestic water eco-environment based on bibliometrics
投稿时间:2019-06-14  
DOI:10.13243/j.cnki.slxb.20190422
中文关键词: 水生态环境  知识图谱  社会网络分析  多维尺度分析  CiteSpace
英文关键词: water eco-environment  knowledge graph  social network analysis  multidimensional scaling  CiteSpace
基金项目:中国工程科技知识中心建设项目-水利专业知识服务系统(CKCEST-2019-1-6);兰州交通大学优秀平台支持项目(201806)
作者单位
毛文山 兰州交通大学 测绘与地理信息学院, 甘肃 兰州 730070
地理国情监测技术应用国家地方联合工程研究中心, 甘肃 兰州 730070
甘肃省地理国情监测工程实验室, 甘肃 兰州 730070
中国水利水电科学研究院 水资源研究所, 北京 100038 
赵红莉 中国水利水电科学研究院 水资源研究所, 北京 100038 
蒋云钟 中国水利水电科学研究院 水资源研究所, 北京 100038 
段浩 中国水利水电科学研究院 水资源研究所, 北京 100038 
郝震 中国水利水电科学研究院 水资源研究所, 北京 100038
大连理工大学 建设与工程学部, 辽宁 大连 116024 
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中文摘要:
      近年来,水生态环境问题已愈发引起学者和社会的广泛关注。本文选取1992—2017年CNKI数据库中文核心期刊中收录的水生态环境相关文献作为样本数据。采用文献计量学中定性分析与定量研究的信息分析方法,基于知识图谱的结构性和时间性指标,以CiteSpace、SPSS信息分析软件为支撑工具,对数据进行主题词共词矩阵分析、关键词共现聚类分析和名词短语突变检测分析,绘制了展现国内水生态环境研究领域知识结构、知识演化的各类知识图谱。研究表明:①本文构建的“文献时序分析&学科分析(宏观)→主题词共词矩阵分析(微观、直观)→关键词共现聚类分析(复杂、整体)&典型聚类分析(局部)→名词短语突变检测分析(特殊)”行业文献数据分析方法是合理有效的;②国内水生态环境研究进展符合“Shneider四阶段理论”,研究主题演进路径明确,以“水环境保护研究→生态需水研究→面向生态环境的应用研究”为主,研究热点具有丰富的进程特征,各时段前沿研究脉络清晰,体现为:“流域生态水文规律研究→水生态环境管理技术研究→流域生态环境改善、恢复研究”;③通过主题词共词矩阵分析识别中文文献研究主题,弥补了中文文献数据因参考文献缺失无法通过文献共被引分析进行主题识别的不足。
英文摘要:
      In recent years, the problem of water eco-environment has attracted more and more attention from scholars and society. Taking the China National Knowledge Infrastructure (CNKI) as the literature search engine, this paper chooses the papers indexed by Chinese core journals which published articles with the theme of water eco-environment as sample data. Using the information analysis method of qualitative analysis and quantitative research in bibliometrics, based on the structural and temporal indicators of knowledge graph, using CiteSpace, SPSS information analysis software as the supporting tool, terms co-word matrix analysis, keywords co-occurrence cluster analysis and noun phrases burst detection analysis are carried out on the data,and mapping various knowledge graphs such as knowledge structure and knowledge evolution in the field of domestic water eco-environment research. The research shows that:① "Literature timing analysis & subject analysis (macro)→co-occurrence matrix analysis of terms (microscopic,intuitive)→co-occurrence cluster analysis of keywords (complex,overall)→typical cluster analysis (local)→noun phrases burst detection analysis (special)" industry literature data analysis method is reasonable and effective; ② The progress of domestic water eco-environment research is in line with the"Shneider Four-stage Theory", and the research theme of this field is clear, with the theme of"water environmental protection research→ ecological water requirement research→ecological environment-oriented application research", the research hotspots after clustering have rich process characteristics, and the context of frontier research in each period is clear. it is embodied as:"Study on the law of watershed eco-hydrology→water eco-environment management technology research→watershed eco-environment improvement and restoration research";③ Identifying the subject of Chinese literature research through the co-word matrix analysis of the terms, which makes up for the insufficiency of Chinese literature data due to the lack of reference literature and the ability to identify the subject through the co-citation analysis of the literature.
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