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。
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.
出处
《微型机与应用》
2013年第17期56-59,共4页
Microcomputer & Its Applications
基金
贵州省工业攻关项目(黔科合GY字[2010]3061)
