基于文献数据规律的机构知识库数据转换模型研究  

Exploring the Regularities in Bibliographic Data:Research on Data Conversion Model of Institutional Repository

作　　者：侯瑞芳[1] 李玲[1] 陈嘉勇[1] 肖明[2] 

机构地区：[1]北京邮电大学图书馆 [2]北京师范大学政府管理学院

出　　处：《图书情报工作》2014年第17期131-135,共5页Library and Information Service

摘　　要：针对高校图书馆机构知识库构建中普遍存在的数据来源与组织难题,通过文献数据预处理和数据模型的设计,将高校科研成果的文献数据原貌保存到机构知识库中,并实现文献实体与高校实体间的精准关联。基于模型继续探索文献数据规律,发现题录实体分布中普遍存在的"二八"定律现象对于拥有海量、动态科研成果数据的机构知识库的管理和运营具有主要参考价值。Aiming at the problem of data acquisition and organization which is widespread in institutional reposito- ries of domestic university libraries, this paper develops data preprocessing technology and designs data model to store the original features of bibliographic data to institutional repository, and implements inaccurate data correlation between with paper and university entities. It continues to explore the law of bibliographic data based on the data model, and the phe- nomenon of Pareto＇ s Law is discovered, which will contribute to the management and operation of massive, dynamic re- search data in the institutional repository in future.

关 键 词：机构知识库 数据转换模型 文献计量学 

分 类 号：G258.6[文化科学—图书馆学] G250.74