关联数据学习平台建设研究

Developing a Linked Data Learning Platform in Exploratory Context

关联数据学习平台的建设有助于普及关联数据教育,提升关联数据学习效能,促进关联数据资源的开发与利用。以开发与利用为导向,针对关联数据知识体系庞大、学习资源相对分散、技术门槛相对较高、理论学习与技术实践脱节等学习问题,构设突破单一线性学习思路的探究式关联数据学习场景,分析场景构成要素和学习资源基础。从关联数据的能力指标体系设计、学习资源描述与组织以及支撑探究式学习功能等方面深入剖析关联数据学习的当前最佳实践LD4PE。关联数据学习平台建设是一个复杂且持续的系统工程。以LD4PE为平台建设基础,将LD4PE的自建学习路线、自选学习资源组合、辅助实践操作、鼓励学习分享互动等作为主要抓手,适时推进对中文环境下关联数据学习平台的本地化建设。

The development of linked data learning platform will help popularize linked data education, improve the effectiveness of linked data learning, and promote the use of linked data resources. Guided by development and utilization, this paper explores the breakthrough of single linear learning ideas for learning problems such as complex knowledge system, relatively scattered learning resources, relatively high technical threshold, and gap between theoretical learning and technical practice. It proposes a linked data learning scenario, analyses of the scene components and the learning resource base, and in-depth analyses of the LD4PE project which is the current best practice with competency index, description of learning resource and exploratory study function. The development of linked data learning platform is a complex and continuous system engineering. Focusing on self-built learning routes, selfselected learning resource combinations, assisting practical operations, and encouraging learning to share interactions, it’s necessary to develop localization of linked data learning platform based on LD4PE in the Chinese environment.