关系数据共享与交换过程中一种基于XML Schema的模式转化方法

将共享和交换的数据表示为机器可读的形式,是实现协同工作自动化的一个前提.为了满足分布式用户在协同过程中对大数量级数据在线交换的需求,提出基于语义和XML Schema的关系模式转化方法.该方法以有向图结构为公共数据模型,通过基于Key的关系模式重构算法,获取关系模式的结构和语义约束,通过语义约束保留算法,实现关系数据到全局XML数据的转换,从而为关系数据建立连贯而有意义的XML数据视图,实现关系数据基于Web的共享,为协同过程中关系数据的在线交换提供基础.

An XML-Based Schema Translation Method for Relational Data Sharing and Exchanging

Representing the sharing and exchanging data with machine-readable format allows coopera-tive task automation. In this paper we propose a relational data translation approach based on XML Schema and semantic, which aims at providing a coherent and meaningful view of the relational data and enabling distributed users to cooperate on large data volumes online. We define a directed-graph data model as the common data model, present a key-based relational schema reverse reconstruction arithmetic to capture the full structures and semantic constraints in relational schema, and propose a constraints-preserving mapping algorithm to translate relational data into the global XML representations.