Abstract： Bibliorgraphic framework is the next generation bibliographic format which the Library of Congress initiated to actively respond to the web environment. Bibliographic data of Chinese periodicals, which is based on the BIBFRAME 2.0, not only solves the problems of high data repetition rate, low retrieval rate and low association degree, but also can use semantic web technology to retrieve data. The association aggregation model of bibliographic data realizes the structured description of journal contents and the semantic annotation of internal knowledge units. At the same time, it focuses on the correlation between resource entities and builds the knowledge network of data entities. Combining with the bibliographic data association aggregation technology and the evolution of core classes in bibliorgraphic framework, this paper integrates the information of data layer, information layer and knowledge layer from work, instance and item.
金华. 基于书目框架的期刊元数据语义聚合探究[J]. 图书馆工作与研究, 2019, 1(9): 55-60.
Jin Hua. Semantic Aggregation of Journal Metadata Based on
Bibliorgraphic Framework. Library Work and Study, 2019, 1(9): 55-60.
