摘要
馆藏资源深度聚合有利于图书馆向用户提供更精细化、系统化的知识服务。文章提出3种馆藏资源深度聚合模式:基于元数据的深度聚合模式、基于计量分析的深度聚合模式、基于领域本体的深度聚合模式,并对3种聚合模式做了对比分析。针对我国目前高校图书馆学科服务平台建设存在的一些问题,理论性地探索了将馆藏资源深度聚合模式运用到高校图书馆学科服务平台建设中来,希望借此重新定位高校图书馆学科服务平台建设。
The depth aggregation of collection resources is advantageous for the library to provide customers with more sophisticated and systematic knowledge service. The paper puts forward three kinds of patterns for collection resources depth aggregation: the depth aggregation patterns based on the metadata,the depth aggregation patterns based on the metrology analysis,the depth aggregation patterns based on the the domain ontology. It also makes a comparison and analysis of the three kinds of aggregation patterns. According to some problems to university library subject service platform construction in our country,this paper also explores theoretically how to apply the depth aggregation patterns of collection resources to the construction of university library subject service platform,hoping to reposition the university library subject service platform construction.
出处
《图书馆学研究》
CSSCI
北大核心
2014年第21期64-71,共8页
Research on Library Science
基金
国家社会科学基金项目"基于语义的馆藏资源深度聚合与可视化展示研究"(项目编号:11&ZD152)的阶段性研究成果之一
关键词
馆藏资源
聚合模式
高校图书馆
学科服务平台
collection resources aggregation patterns university library subject service platform
