小源日志（小源笔记二十）
小源日志（小源笔记二十）Dear youShare interest spread happiness increase knowledge and leave beautiful.今天小编给大家带来关键词概念解读，欢迎您的用心访问！本期推文阅读时长大约5分钟，请您耐心阅读。
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今天小编给大家带来关键词概念解读，
欢迎您的用心访问！
本期推文阅读时长大约5分钟，请您耐心阅读。
Share interest spread happiness increase knowledge and leave beautiful.
Dear you
This is the LearningYard Academy!
Today the editor brings you the interpretation of keyword concepts
Welcome your visit!
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今天小编除了更新Origin软件学习和精读论文系列，还为大家带来论文关键词概念的解读，分享关于CiteSpace、CNKI和可视化这三个关键词的概念，让我们对论文关键词有更加深入的理解。
Today in addition to updating the Origin software learning and intensive reading series the editor also brings you an interpretation of the keyword concepts of the paper and shares the concepts of the three keywords CiteSpace cnki and visualization so that we can have a deeper understanding of the keywords of the paper. understand.
一、CiteSpace
CiteSpace一种文献计量分析工具，是由美国德雷塞尔大学陈超美应用Ｊａｖａ语言开发的可视化分析软件。“一图谱春秋，一览无余；一图胜万言，一目了然”概括了CiteSpace知识图谱的基本特征。该软件能够在网络图谱上展现知识领域的来龙去脉，同时将作为知识基础的引文节点文献、聚类分析表征的研究前沿等进行标注。借助CiteSpace计量分析软件，以WOS、CNKI等数据库的数据为基础，针对不同行业、不同领域可进行可视化分析。
CiteSpace is a bibliometric analysis tool which is a visual analysis software developed by Chen Chaomei of Drexel University using Java language. "A map of spring and autumn at a glance; a map is worth a thousand words at a glance" summarizes the basic characteristics of CiteSpace knowledge map. The software can display the ins and outs of the knowledge field on the network map and at the same time mark the citation node literature as the knowledge base and the research frontier represented by cluster analysis. With the help of CiteSpace measurement analysis software based on the data of WOS CNKI and other databases visual analysis can be carried out for different industries and fields.
具体操作方法：选取CNKI中文数据库，以Refworks格式导出文献，然后通过CiteSpace分析文献的发表年份、核心作者与研究机构，并生成关键词共现网络、主题聚类图谱等。
Specific operation method: Select CNKI Chinese database export documents in Refworks format and then analyze the publication year core authors and research institutions of the documents through CiteSpace and generate keyword co-occurrence networks topic clustering maps etc.
关键词共现基本原理是通过统计某一领域文献中关键词的共现情况，反映关键词之间的关联程度，进而确定该领域的研究热点；热点词聚类分析是运用聚类算法将不同相关程度的关键词聚集成不同的聚类，以实现对该研究领域热点和趋势的把握。
The basic principle of keyword co-occurrence is to count the co-occurrence of keywords in the literature of a certain field reflect the degree of correlation between keywords and then determine the research hotspots in this field; Keywords with relevant degrees are clustered into different clusters so as to grasp the hotspots and trends in the research field.
二、cnki
名称：中国知网（CNKI）
链接：http://www.cnki.net/
类型：目前世界上最大的连续动态更新的中国期刊全文数据库，收录国内8200多种重要期刊。
概况：以学术、技术、政策指导、高等科普及教育类为主，同时收录部分基础教育、大众科普、大众文化和文艺作品类刊物，内容覆盖自然科学、工程技术、农业、哲学、医学、人文社会科学等各个领域，全文文献总量2200多万篇。
Name: CNKI
Link: http://www.cnki.net/
Type: The world's largest continuously and dynamically updated full-text database of Chinese periodicals including more than 8 200 important domestic periodicals.
Overview: Focus on academics technology policy guidance higher popular science and education and also include some basic education popular popular science popular culture and literary works covering natural science engineering technology agriculture philosophy medicine humanities There are more than 22 million full-text documents in various fields such as social sciences.
中国知识基础设施工程，中国知网（CNKI），始建于1999年，是目前全球信息量最大、最具价值的中文数据库。CNKI的信息内容是经过深度加工、编辑、整合、以数据库形式进行有序管理的，内容有明确的来源、出处，内容可信可靠，比如期刊杂志、报纸、博士硕士论文、会议论文、图书、专利等等。
China knowledge Infrastructure Project China National Knowledge Infrastructure (CNKI) founded in 1999 is currently the world's largest and most valuable Chinese database. The information content of CNKI is deeply processed edited integrated and managed in an orderly manner in the form of a database. The content has a clear source and provenance and the content is credible and reliable such as journals newspapers doctoral and master theses conference papers books etc. patents etc.
中国知网（CNKI）是面向全行业的数字出版、知识服务、知识管理平台，致力于创新服务。拥有国内8200多种期刊、700多种报纸、600多家博士培养单位优秀博硕士学位论文、几百家出版社已出版图书、重要会议论文、百科全书、专利、年鉴、标准、科技成果、政府文件、互联网信息汇总以及国内外上千个各类加盟数据库等知识资源。
CNKI is an industry-wide digital publishing knowledge service and knowledge management platform dedicated to innovative services. It has more than 8 200 domestic journals more than 700 newspapers more than 600 excellent doctoral and master theses from doctoral training institutions hundreds of publishing houses published books important conference papers encyclopedias patents yearbooks standards scientific and technological achievements government Documents Internet information summary and thousands of domestic and foreign franchise databases and other knowledge resources.
中国知网是国内最大的文献检索系统之一。它的英文全称是China National Knowledge Infrastructure，缩写是CNKI。它包括以下几个数据库：
1. 中国知网（CNKI）资源总库；
2. CNKI 中国博硕士学位论文全文数据库；
3. CNKI 中国学术辑刊全文数据库；
4. CNKI 中国重要会议论文全文数据库；
5. CNKI 国际会议论文全文数据库；
6. CNKI 中国引文数据库；
7. CNKI 中国专利全文数据库；
8. CNKI 中国科技项目创新成果鉴定意见数据库；
9. CNKI 中国重要报纸全文数据库；
10.CNKI 学术图片知识库；
11.CNKI 工具书库。
CNKI is one of the largest document retrieval systems in China. Its full English name is China National Knowledge Infrastructure and its abbreviation is CNKI. It includes the following databases:
1. China National Knowledge Infrastructure (CNKI) Resource Library;
2. CNKI China doctoral and master thesis full-text database;
3. CNKI China Academic Journals Full-text Database;
4. CNKI full-text database of important conference papers in China;
5. CNKI international conference paper full-text database;
6. CNKI China Citation Database;
7. CNKI China Patent Full-text Database;
8. CNKI China Science and Technology Project Innovation Achievement Appraisal Opinion Database;
9. CNKI full-text database of important Chinese newspapers;
10. CNKI academic image knowledge base;
11. CNKI reference library.
三、可视化
可视化是利用计算机信息技术，将数据转换成图形或图像，是人机交互的理论、方法、技术在实践中得以运用的体现。1987年 美国国家科学基金会的图形图像专题讨论组首次引用了“科学计算可视化”一词，并指出可视化是一种计算方法 它将符号或数据转换为直观的几何图形 便于研究者观察和模拟计算过程。
Visualization is the use of computer information technology to convert data into graphics or images. In 1987 the National Science Foundation's Graphical Image Symposium first cited the term "scientific computing visualization" and pointed out that visualization is a computational method that converts symbols or data into intuitive geometric figures that are easy for researchers to observe. and simulation calculation process.
运用可视化的方法表征知识，往往比纯语义化的方法表征知识要更高效、更容易理解。人类在理解语义信息时，视觉处于一个非常特殊的地位。实践表明，大多数知识都可通过“可视化”形式进行表征，知识“可视化”可以高效地传递信息、促进理解、降低认知负荷、提升教学效果。
Using visual methods to represent knowledge is often more efficient and easier to understand than purely semantic methods. Vision is in a very special position when humans understand semantic information. Practice shows that most knowledge can be represented in the form of "visualization" and knowledge "visualization" can efficiently transmit information promote understanding reduce cognitive load and improve teaching effect.
今天的分享就到这里了。
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参考资料：谷歌翻译、百度百科
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文案 |Yuan
排版 |Yuan
审核 |Qian
