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Tim Berners-Lee提出的“关联数据”概念目前是图书馆学、情报学、计算机科学、信息管理和信息系统等学科的研究热点。关联数据作为语义网的一种实现方式,正在引领一场网络革命,它不仅使许多新应用付诸实践,也为一些特殊领域的应用提供了契机。论文分析了关联数据技术的背景和现状以及企业应用关联数据的原因、意义和模式,根据关联数据的层次模型以及基于关联数据的企业信息资源集成的目标取向和功能配置构建了企业关联数据应用模型,在逻辑上将其分为支撑环境层、信息资泺层、信息处理层和应用层,并结合Google、BBC和Renault三大公司的应用案例探讨了企业如何利用关联数据技术创新盈利模式、改善效益,为关联数据在企业的应用提供了参照。
The concept of “Linked Data” proposed by Tim Berners-Lee is currently a hot topic in the fields of library science, information science, computer science, information management and information systems. Linked data, as an implementation of the Semantic Web, is leading a network revolution that not only brings many new applications to work, but also provides an opportunity for applications in some special fields. The paper analyzes the background and current situation of the related data technology and the reasons, significance and mode of the application of the related data in the enterprise. According to the hierarchical model of the related data and the target orientation and function configuration of the enterprise information resource integration based on the related data, , Logically divides them into support environment layer, information resource layer, information processing layer and application layer, and explores how enterprises use related data technology to innovate the profit model and improve the combination of the application cases of Google, BBC and Renault. Benefits for the associated data in the enterprise application provides a reference.