摘要
文章基于知识关联理论,将资源聚合与用户聚合方法应用在数字图书馆信息资源管理上,提出了基于文献和用户关联的数字图书馆信息资源综合聚合模式。通过资源的内在关联和用户的行为关联来研究数字图书馆信息资源之间的关联紧密程度和分析处于资源关联中心的资源的影响力,对于指导数字图书馆信息资源的聚合模式和馆藏结构、提高用户检索结果的针对性、准确度和关联性,优化查询结果,改善用户体验等具有现实的意义。
Based on knowledge relevancy theory, this paper applies resource aggregation and user aggregation methods to digital library information resource management, and puts forward a comprehensive aggregation model of digital library information resources based on literature and user association. By taking the advantage of internal relationship of resources and the relationship among users＇ behaviors, the authors study the relevance between digital library information resources and analyze the impact of resources in resources association center, which has practical significance for the guidance of aggregation model and collection structure of digital library information resources, improving pertinence, accuracy and relevance of users＇ search results, optimizing query results, and improving user experience and so on.
出处
《图书馆学研究》
CSSCI
2016年第23期36-41,共6页
Research on Library Science
基金
国家自然科学基金"大数据环境下应急信息质量与信源可信度双路径作用机理研究"(项目编号:71663038)的部分研究成果
关键词
知识关联
数字图书馆
信息资源聚合
knowledge relevancy
digital library
information resource aggregation
