以关联数据互联技术为研究对象,分别从应用实例、方法和算法、框架三个方面阐述其研究现状。指出关联数据的互联技术还需要进一步的深入,主要包括:关联数据互联应用领域需要进一步拓展,关联算法需要考虑来自大关联数据的需求,关联发现框架需要面向任务支持更丰富的任务类型,并提供流水线机制和全局的规划以及流程控制能力。
This paper investigates the research status of the interlinking technology of linked data, from three perspectives of its application examples, the popular methods and algorithms, and the linked discovery frameworks. It is concluded that: interlinking applications of linked data require further development; the interlinking algorithms need to meet the requirements of the "Big Linked Data" ; the linked discovery frameworks need to support richer types of tasks, and provide functionalities of pipelining, overall planning and process control.