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计算机工程 ›› 2007, Vol. 33 ›› Issue (13): 68-70. doi: 10.3969/j.issn.1000-3428.2007.13.023

• 软件技术与数据库 • 上一篇    下一篇

基于OAI-PMH架构的元数据分类研究

郑志蕴1,余正涛2   

  1. (1. 郑州大学信息工程学院计算机系,郑州 450052;2. 昆明理工大学信息工程与自动化学院,昆明 650093)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-07-05 发布日期:2007-07-05

Research on Metadata Classification Based on OAI-PMH Framework

ZHENG Zhiyun1, YU Zhengtao2   

  1. (1. Department of Computer, School of Information & Engineering, Zhengzhou University, Zhengzhou 450052; 2. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-05 Published:2007-07-05

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

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