| 扩展哈弗曼前缀编码实现XML数据与关系数据转换 |
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| 引用本文： | 裴松,武彤.扩展哈弗曼前缀编码实现XML数据与关系数据转换[J].微型机与应用,2013,32(17):56-59. |
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| 作者姓名： | 裴松 武彤 |
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| 作者单位： | 贵州大学计算机科学与信息学院,贵州贵阳,550025 |
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| 摘 要： | 为从企业生产线上XML半结构化数据中抽取富有意义数据，分析了XML半结构化数据和关系数据库中结构化数据特点，以及XML半结构化数据在关系数据库中的存储方法。针对实际应用，提出采用扩展哈弗曼前缀编码方法，对XML文档树进行唯一编码，实现XML文档与关系数据库映射，同时给出最长前缀匹配策略，支持数据查询，以提高查询效率。
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| 关 键 词： | XML 关系数据库 哈弗曼前缀编码 匹配策略 模型映射 |
The research of conversion from XML data to relational data based on the extended Huffman prefix encoding |
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| Pei Song
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Wu Tong.The research of conversion from XML data to relational data based on the extended Huffman prefix encoding[J].Microcomputer & its Applications,2013,32(17):56-59. |
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| Authors: | Pei Song Wu Tong |
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| Affiliation: | (School of Computer Science and Information, Guizhou University, Guiyang 550025, China ) |
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| Abstract: | To extract meaningful data from semi-structured XML data in the production line of enterprise, Feature analysis of semi-structured XML data and Structured data in a relational database. Meanwhile, analyse the semi-structured XML data stored in a relational database approach. According to the practical application, In this paper, Based on the extended the prefix encoding method of Huffman, The only encoding of node in XML document tree to realize the mapping from XML document to relation database. At the same time, this paper present the longest prefix encoding matching strategy to support data query and the query efficiency is able to be highly elevated. |
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| Keywords: | XML relational database prefix encoding of Huffman matching strategy model mapping |
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