摘要
随着资源保存到资源利用的需求转变,机构知识库经过多年的发展,逐渐从传统的成果资源典藏向知识关联与发现进行转变,这使得如何深度整合与数据关联管理变得尤为重要。文章从支持科研与教学的角度出发,寻找以成果资源为中心,各类成果之间、成果与人员、成果与机构、成果与团队的关联关系,并尝试构建机构知识库数据模型,以期在机构知识库平台的建设实践中指导成果资源对象间深层次、多维度的数据关联。
With the demand change from the preservation of resources to the using of resources,after years of development,institutional repository gradually from the traditional collection of resources to knowledge associated and discovery.How to deep integration with data association management becomes particularly important. From the prespective of science research support and teaching support,the article looked for the relationship of all kinds of resources between,resources and persons,resources and organizations,resources and groups,attempted to build institutional repository data model,look forward to guide the deep and multidimensional linked data during the construction of institutional repository.
作者
孙翌
胡爱
Sun Yi;Hu Ai(Library,Shanghai Jiaotong University,Shanghai 200240,China;Library,Shanghai Institute of Tourism,Shanghai 201418,China)
出处
《现代情报》
CSSCI
2018年第7期95-106,159,共13页
Journal of Modern Information
基金
上海交通大学文理交叉基金(项目编号:15JCMY09)
关键词
多维度关联
机构知识库
数据模型
multidimensional linked data
institutional repository
data model