利用关联数据实现信用信息共享  

Using Linked Data to Share Credit Information

作　　者：梁新华[1] 李甜 Liang Xinhua;Li Tian(School of Public Administration of Xiangtan University,Xiangtan Hunan 411105)

机构地区：[1]湘潭大学公共管理学院,湖南湘潭411105

出　　处：《情报探索》2020年第12期72-77,共6页Information Research

摘　　要：[目的/意义]旨在为促进我国信用信息资源建设提供参考。[方法/过程]分析信用信息共享困境中存在的"信息孤岛""元数据标准缺失""数据异构"等问题,并且通过研究发现关联数据的RDF数据模型、URI复用机制、HTTP内容协商机制可以有效解决以上问题。[结果/结论]以关联数据为基础,从数据来源、数据处理、数据关联、实体应用四个层面构建信用信息资源共享模型,以实现信用信息共享。[Purpose/significance]The paper provides references for promoting the further development of credit information resources construction in China.[Method/process]The paper analyzes the problems of“information island”,“metadata standard missing”and“data heterogeneity”in the dilemma of credit information sharing,and finds that the RDF data model,URI multiplexing mechanism and HTTP content negotiation mechanism of linked data can effectively solve the above problems.[Result/conclusion]Based on the linked data,a credit information resource sharing model is constructed from four aspects,including data source,data processing,data association and entity application,in order to realize the credit information sharing.

关 键 词：信用信息 关联数据 资源共享 信息资源 信息孤岛 信息共享 

分 类 号：G250[文化科学—图书馆学]