信息资源管理学报 ›› 2020, Vol. 10 ›› Issue (5): 38-47.doi: 10.13365/j.jirm.2020.05.038

• 专题-人文社科专题数据库建设关键技术与方法研究 • 上一篇    下一篇

基于知识超网络的人文社科专题数据库数据资源聚合研究

毛 平1 剧晓红2   

  1. 1.南京大学信息管理学院,南京,210023
    2.安徽工业大学商学院,马鞍山,243032
  • 出版日期:2020-09-26 发布日期:2020-10-13
  • 作者简介:毛平,博士研究生,研究方向为网络信息资源管理,Email:maoping2001@126.com;剧晓红,讲师,研究方向为网络信息资源管理、科技报告服务创新,Email:juxiaohong6@163.com。
  • 基金资助:
    本文系国家社会科学基金重大项目“人文社科专题数据库建设规范化管理研究”(18ZDA326)的成果之一。

Research on the Aggregation of Data Resources of Humanities & Social Sciences Based on Knowledge Super-Network

Mao Ping1 Ju Xiaohong2   

  1. 1.School of Information Management, Nanjing University, Nanjing, 210023
    2. School of Economics, Anhui University of Technology, Ma’anshan, 243032
  • Online:2020-09-26 Published:2020-10-13

摘要: 文社科专题数据库数据资源丰富、类型多样,有效聚合数据资源对于提升专题数据库知识服务等有着重要的意义。针对专题数据库数据资源多层级、多维度、多属性等特征,依据知识超网络理论,构建人文社科专题数据库数据资源语义聚合模型,并以“明史研究专题库”为例进行实证。该模型能够较好地从不同层次和维度揭示人文社科专题数据库数据资源,有效地支撑各类数据资源的语义聚合。

关键词: 知识超网络, 专题数据库, 资源聚合, 人文社科, 知识服务

Abstract: The Humanities & Social Sciences thematic databases contain many types of rich data resources. The effective aggregation of data resources is of great significance for improving the knowledge services of the thematic databases. According to the multi-level, multi-dimensional and multi-attribute characteristics of the data resources in the Humanities & Social Sciences thematic databases, based on knowledge Super-network theory, a semantic aggregation model is constructed and a empirical test is carried out by taking the "Thematic Database of Ming History Research" as an example. The model can better reveal the data resources of the Humanities & Social Sciences thematic databases from different levels and dimensions, and can also effectively implement the semantic aggregation of various data resources.

Key words: Knowledge Super-network, Thematic Databases, Data Aggregation, Humanities & Social Sciences, Knowedge service

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