基于OAI-PMH架构的元数据分类研究

提出了一种基于规则和学习相结合的元数据分类存储的方法，该方法通过统计分析，提取对元数据分类影响较大的通用特征规则，对无法用规则分类的元数据，采用文本学习方法，将元数据记录看成由多个属性字段组成的文本，通过构造分类器实现分类。实验结果表明，采用元数据分类存储方法具有良好的检索性能。

Research on Metadata Classification Based on OAI-PMH Framework

This article proposes a metadata classification storage method based on the combination of rule and learning, extractes universal feature rules that affect metadata classification greatly through statistical analysis; for those metadata that cannot be classified using the rules, categorizes them through constructing classifier by adopting text learning method and regarding metadata record as a text that is composed of many attribute fields. According to experimental results, the system has good search performance when adopting metadata classification storage method.