【摘要】 随着Web的不断发展 ,XML逐渐成为Web数据表示和交换的标准 但是大量企业数据仍然存储在关系数据库中 ,因此必须将关系数据发布成为XML文档并且传送给合作者 目前广泛采用的发布方式是针对每个用户的请求独立完成的 但是这样的发布方法忽视了用户发布请求所具有的相似性 ,导致发布成本高和响应时间长的问题 基于用户发布请求的相似性 ,提出了挖掘频繁发布请求并且缓存中间结果的解决方法 当新的发布请求发出时就可以利用缓存的中间结果 ,从而在很大程度上降低响应时间 初步实验研究表明提出的方法具有较高的效率更多还原

【Abstract】 With the development of Web, XML has become the de facto standard for data representation and exchange However, a large amount of corporate data resides in RDBMSs Hence, it is inevitable to publish relational data as XML documents and then transfer them to partners At present, widely used publishing is to be done specifically for each customer However, this publishing procedure ignores similarities among publishing requests of the customers, which leads to high publishing cost and long response time Proposed in this paper are algorithms of mining frequent publishing requests and caching intermediate results based on the similarities of publishing requests When a new publishing request comes, the response time can be reduced to a great extent by utilizing the intermediate results Preliminary experiments show that the method is very efficient更多还原