学习资源网格元数据分层模型研究

Research on Hierarchy Model of Metadata in Learning-Resource Grid

从分析学习资源网格的功能入手,给出了学习资源网格的层次结构,提出制订学习资源网格元数据方案的原则。从底向上建立了由学习资源物理元数据、信息传输元数据、网格节点元数据、虚拟组织元数据及学习资源服务元数据组成的学习资源网格元数据分层模型。较好的描述了学习资源网格中的各类数据。最后一个元数据描述实例说明了该模型的可行性。

Based on the functional analysis of Learning-Resource Grid, the hierarchy structure of Learning-Resource Grid is designed and the principles of metadata schema in Learning-Resource Grid are provided. The hierarchy model of metadata in Learning-Resource Grid is constructed from the bottom layer to the top layer, and the model is consisted of Learning-Resource physical metadata, Information-Transmission metadata, Grid-Node metadata, virtual organization metadata and Learning-Resource service metadata. Each kind of data in Learning-Resource Grid can be described well. Finally, the feasibility of this model is proved by one example of metadata description.