E-commerce Credit Information Service Model for Linked Data
Gao Jinsong1,2, Liang Yanqi2, Li Ke2, Xiao Lian2, Zhou Ximan2
1. E-Commerce Research Center of Hubei Province, Central China Normal University, Wuhan 430079, China;
2. School of Information Management, Central China Normal University, Wuhan 430079, China
[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.
高劲松, 梁艳琪, 李珂, 肖涟, 周习曼. 面向关联数据的电子商务信用信息服务模型研究[J]. 现代图书情报技术, 2014, 30(6): 8-16.
Gao Jinsong, Liang Yanqi, Li Ke, Xiao Lian, Zhou Ximan. E-commerce Credit Information Service Model for Linked Data. New Technology of Library and Information Service, 2014, 30(6): 8-16.
[1] 前瞻产业研究院: 《2013-2017年中国电子商务行业市场前瞻与投资战略规划分析报告》[R/OL]. [2013-10-20]. http://www.qianzhan.com/report/detail/015b594a626442a8.ht-ml. (Research Report: 《China Electronic Commerce Industry Development Prospect and Investment Forecast Report, 2013-2017》[R/OL]. [2013-10-20]. http://www.qianzhan.com/report/detail/015b594a626442a8.html.)
[2] Berners-Lee T. Linked Data[EB/OL]. [2013-10-15]. http://www.w3.org/DesignIssues/Linked Data.html.
[3] W3C[EB/OL].[2013-10-25]. http://www.w3.org/wiki/SweoIG/TaskForces/CommunityProjects/LinkingOpenData.
[4] 毕强, 齐志, 白云峰. 电子商务信用信息服务模式研究[J].情报科学, 2007, 25(11):1634-1639. (Bi Qiang, Qi Zhi, Bai Yunfeng.Research on the Model of Credit InformationService of E-commerce[J]. Information Science, 2007, 25(11): 1634-1639.)
[5] 齐志.基于电子商务信用信息服务体系建设与运行机制研究[D]. 长春: 吉林大学, 2008. (Qi Zhi. Construction and Circulated Mechanism of Credit Information Services System Based on E-Commerce[D]. Changchun:Jinlin University, 2008.)
[6] Meng X. Study on Circumvention Measures of Credit Information Security Risks in E-Commerce[C]. In: Proceedings of the 2nd Symposium International Computer Science and Computational Technology, Huangshan, P. R. China. 2009: 479-482.
[7] 冯艳. 电子商务环境下商务信用信息系统构建策略研究[J]. 情报杂志, 2010, 29(1): 182-185. (Feng Yan. Research on Strategy about the System of Business Credit Information under E-commerce Environment[J]. Journal of Intelligence, 2010, 29(1): 182-185.)
[8] Westland J C. Transaction Risk in Electronic Commerce[J]. Decision Support Systems, 2002, 33(1): 87-103.
[9] Cheng E, Chiang Y H, Tang B S. Alternative Approach to Credit Scoring by DEA: Evaluating Borrowers with Respect to PFI Projects[J]. Building and Environment, 2007, 42(4): 1752-1760.
[10] Zhao H, Li X.VectorTrust: Trust Vector Aggregation Scheme for Trust Management in Peer-to-Peer Networks[J]. The Journal of Supercomputing, 2013, 64(3): 805-829.
[11] Chang M K, Cheung W, Tang M. Building Trust Online: Interactions among Trust Building Mechanisms[J]. Information & Management, 2013, 50(7): 439-445.
[12] Skopik F, Schall D, Dustdar S.Modeling and Mining of Dynamic Trust in Complex Service-oriented Systems[J]. Information Systems, 2010, 35(7): 735-757.
[13] Shah M H, Okeke R, Ahmed R. Issues of Privacy and Trust in E-Commerce: Exploring Customers' Perspective[J]. Journal of Basic and Applied Scientific Research, 2013, 3(3): 571-577.
[14] 张园园. 网络信用信息服务研究[D]. 武汉: 华中师范大学, 2006. (Zhang Yuanyuan. A Study on Network Credit Information Service[D]. Wuhan: Central China Normal University, 2006.)
[15] 刘玉霞. 电子商务环境下信用信息服务研究[D]. 苏州: 苏州大学, 2012. (Liu Yuxia. The Research of Credit Information Service under E-commerce Environment[D]. Suzhou: Suzhou University, 2012.)
[16] 欧石燕. 面向关联数据的语义数字图书馆资源描述与组织框架设计与实现[J]. 中国图书馆学报, 2012, 38(6): 58-71. (Ou Shiyan. Design and Implementation of a Linked Data-oriented Framework for Resource Description and Organization in Semantic Digital Libraries[J]. Journal of Library Science in China, 2012, 38(6): 58-71.)
[17] Bizer C, Cyganiak R, Health T. How to Publish Linked Data on the Web [EB/OL]. [2013-10-15]. http://wifo5-03.informatik. uni-mannheim.de/bizer/pub/LinkedDataTutorial/.
[18] 刘媛媛, 李春旺. 关联模型支持下的关联参考服务研究[J].现代图书情报技术, 2012(12): 15-20. (Liu Yuanyuan, Li Chunwang. Study on the Reference Service with Linked Model[J]. New Technology of Library and Information Service, 2012(12): 15-20.)
[19] Protégé[EB/OL]. [2013-10-15]. http://protege.stanford.edu/.
[20] Musen M A. Protégé Ontology Editor[OL]. [2013-10-15]. http://www.springerreference.com/docs/html/chapterdbid/376722.html.
[21] Sbodio M L, Martin D, Moulin C.Discovering Semantic Web Services Using SPARQL and Intelligent Agents[J]. Web Semantics: Science, Services and Agents on the World Wide Web, 2010, 8(4): 310-328.
[22] ConverterToRdf [EB/OL]. [2013-10-18]. http://www.w3.org/wiki/ConverterToRdf.
[23] 白海燕, 朱礼军. 关联数据的自动关联构建研究[J]. 现代图书情报技术, 2010(2): 44-49. (Bai Haiyan, Zhu Lijun. Research on Automatic Interlinking of Linked Data[J]. New Technology of Library and Information Service, 2010(2): 44-49.)
