XML基于半结构化数据模型，而半结构化数据很难统一存储和管理。
XML is based on semistructured data model, but the semistructured data is hard to store and manage.
研究了结构化、半结构化以及网页数据的XML 数据模型，该模型适合异构数据之间转换。
Study on XML data model of structured and half-structured and Web data shows that this model is fit for transition of heterogeneous data.
本文以标记有序树作为半结构化数据的数据模型，研究了半结构化数据的树状最大频繁模式挖掘问题。
In this paper, labeled ordered tree is used as the data model of semi structured data, the problem of maximum tree structured frequent pattern mining from semi structured data is studied.
应用推荐