%A Gao Jinsong, Liang Yanqi, Li Ke, Xiao Lian, Zhou Ximan %T E-commerce Credit Information Service Model for Linked Data %0 Journal Article %D 2014 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2014.06.02 %P 8-16 %V 30 %N 6 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3906.shtml} %8 2014-06-25 %X

[Objective] The paper uses linked data technology for e-commerce credit information management, which makes users access to the required credit information services quickly, effectively and intuitively. [Methods]Based on establishing the relationship of e-commerce credit information entities and using Protégé to construct credit information Ontology, this paper frames an e-commerce credit information service model and uses AllegroGraph which is a graph database for storage and query. [Results] Constructing an e-commerce credit information service model based on linked data, which realizes a series of management services, such as credit information storing, browsing, querying and result representation. [Conclusions]The service model with strong theoretical and practical value can realize the linking and sharing among the e-commerce credit information data sources.