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A Levelized Schema Extraction for XML Document Using User-Defined Graphs

机译:使用用户定义图的XML文档的分层模式提取

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摘要

Extended Markup Language (XML), which are becoming new standard for representing and exchanging data in the Internet, don't have defined schema. It is not proper to directly apply XML documents to the existing SQL or OQL. Research on how to extract schema for XML documents and query language is going on actively. For users' query, the query results could be too many or too few. It is important to give the users good size results. We suggest the way to extract schema using some graphs according to the frequency of element occurrence in XML documents. The extracted schema can be reduced or extended to correspond to the users' query more flexibly. We test our proposed method and the results show that our method is a desirable extracting schema for XML documents.
机译:扩展标记语言(XML)已成为定义和交换Internet数据的新标准,但尚未定义架构。直接将XML文档应用于现有的SQL或OQL是不合适的。关于如何为XML文档和查询语言提取模式的研究正在进行中。对于用户的查询,查询结果可能太多或太少。为用户提供良好的尺寸效果非常重要。我们建议根据XML文档中元素出现的频率使用一些图形提取模式的方法。可以减少或扩展提取的架构以更灵活地对应于用户的查询。我们测试了我们提出的方法,结果表明我们的方法是XML文档的理想提取模式。

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