图书情报工作 ›› 2019, Vol. 63 ›› Issue (3): 14-20.DOI: 10.13266/j.issn.0252-3116.2019.03.002

• 专题:数据驱动下数字图书馆知识发现服务优化与应用研究 • 上一篇    下一篇

基于多特征耦合的数字图书馆知识发现服务优化研究

张晗1, 毕强1, 丁梦晓1, 李洁1, 牟冬梅2   

  1. 1. 吉林大学管理学院 长春 130022;
    2. 吉林大学公共卫生学院 长春 130021
  • 收稿日期:2018-07-06 修回日期:2018-10-10 出版日期:2019-02-05 发布日期:2019-02-05
  • 通讯作者: 牟冬梅(ORCID:0000-0003-0237-034X,教授,博士生导师,通讯作者,E-mail:moudm@jlu.edu.cn
  • 作者简介:张晗(ORCID:0000-0002-4586-0819),硕士研究生,E-mail:15924511205@163.com;毕强(ORCID:0000-0001-7381-4986),教授,博士生导师;丁梦晓(ORCID:0000-0002-6903-8360),硕士研究生;李洁(ORCID:0000-0002-3929-729X),博士研究生。
  • 基金资助:
    本文系国家自然科学基金面上项目"嵌入式知识服务驱动下的领域多维知识库构建"(项目编号:71573102)研究成果之一。

Research on Knowledge Discovery Service Optimization of Digital Library Based on Multi-feature Coupling

Zhang Han1, Bi Qiang1, Ding Mengxiao1, Li Jie1, Mu Dongmei2   

  1. 1. School of Management, Jilin University, Changchun 130022;
    2. School of Public Health, Jilin University, Changchun 130021
  • Received:2018-07-06 Revised:2018-10-10 Online:2019-02-05 Published:2019-02-05

摘要: [目的/意义]大数据环境下,用户的知识需求由分散向关联转变,利用多特征耦合可以辅助知识发现服务发现资源间的多种相关关系,从而优化知识发现服务。[方法/过程]通过分析文献内部和外部属性特征定义多特征耦合的概念,从功能角度出发,剖析多特征耦合与数字图书馆知识服务之间的关系,结合现有的知识发现系统构建多特征耦合架构,基于数据层-耦合层-服务层三层提出提升知识发现服务供给侧的方法。[结果/结论]数据层保障数据的质量,数据源由单一向混合转变;耦合层提升耦合分析效果,分析单位由粗向细转变,注重细粒度单元间的语义关联;服务层重视用户的交互体验,开发多维可视化功能。

关键词: 多特征耦合, 数字图书馆, 知识发现服务

Abstract: [Purpose/significance] In the context of big data, the user's knowledge needs are changed from decentralization to correlation, and multi-feature coupling is used to assist the knowledge discovery service to discover multiple correlations between resources, thereby optimizing knowledge discovery services. [Method/process] The concept of multi-feature coupling was defined by analyzing the internal and external attribute characteristics of the literature. This paper analyzed the relationship between multi-feature coupling and digital library knowledge service according to the function of multi-feature coupling. Then, by combining the existing knowledge discovery system, the multi-feature coupling structure was constructed. And the method of improving the supply side of the knowledge discovery service was proposed based on data layer-coupling layer-service layer. [Result/conclusion] The data layer guarantees the quality of the data, the data source changes from single to mixed; the coupling layer enhances the effect of coupling analysis, the unit of analysis changes from coarse-grained to fine-grained, the semantic association between fine-grained units attracts much attention; the service layer attaches importance to the user's interactive experience and develops multi-dimensional visualization function.

Key words: multi-feature coupling, digital library, knowledge discovery service

中图分类号: