| 刘爱琴,吴瑞瑞.基于引证关系的作者与主题多重共现网络构建[J].数字图书馆论坛,2019,(10):23~29 |
| 基于引证关系的作者与主题多重共现网络构建 |
| Construction of Multiple Co-occurrence Network of Author and Subject Based on Citation Relationship |
| 投稿时间：2019-09-05 |
| DOI：10.3772/j.issn.1673-2286.2019.10.004 |
| 中文关键词: 知识图谱；知识关联；多重共现；引证关系 |
| 英文关键词: Knowledge Map; Knowledge Association; Multiple Co-occurrence; Citation Relationship |
| 基金项目: |
| 作者 | 单位 | | 刘爱琴 | 山西大学经济与管理学院 | | 吴瑞瑞 | 山西大学经济与管理学院 |
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| 中文摘要: |
| 利用可视化工具描述知识资源及其载体，深层次地挖掘知识内容及其结构关系，表征知识之间的关联是有效提高信息检索效率和准确率，实现数据库服务模式创新的重要途径。本文从数据库检索因子优化入手，以CNKI中国引文数据库的数据作为依据，基于引证关系，对知识发现领域研究群体进行知识图谱构建和聚类分析，一方面展示了群体族群关系及整体知识架构，挖掘出知识发现领域作者群体、主题及引文之间的超网络模型；另一方面验证了将二次凝练因子作为基础特征项进行应用的效果，提高了信息检索的查全率和查准率，弥补信息检索的缺陷。 |
| 英文摘要: |
| Using visualization tools to describe knowledge resources and their carriers, deeply mine knowledge content and its structural relationship, and represent the association between knowledge are important ways to effectively improve the efficiency and accuracy of information retrieval and realize the innovation of database service mode. Based on the data of CNKI Chinese Citation Database and the citation relationship, this paper constructs the knowledge map and cluster analysis of the research groups in the field of knowledge discovery. On the one hand, it shows the relationship between groups and the overall knowledge structure, and excavates the hypernetwork model among authors, keywords and citations in the field of knowledge discovery. It proves the effect of using the secondary condensation factor as the basic feature item, improves the recall and precision of information retrieval, and makes up for the shortcomings of information retrieval. |
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