摘要: 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。
关键词:
元数据分类,
OAI-PMH架构,
规则,
文本学习
Abstract: 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.
Key words:
metadata classification,
OAI-PMH framework,
rule,
text learning
中图分类号:
郑志蕴;余正涛. 基于OAI-PMH架构的元数据分类研究[J]. 计算机工程, 2007, 33(13): 68-70.
ZHENG Zhiyun; YU Zhengtao. Research on Metadata Classification Based on OAI-PMH Framework[J]. Computer Engineering, 2007, 33(13): 68-70.