Extracting schema is important in the field of semistructured data research.
模式抽取在半结构化数据研究领域中具有重要意义。
XML is based on semistructured data model, but the semistructured data is hard to store and manage.
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。
An approach to approximate querying of general graph structured semistructured data is proposed based on a relational database system.
提出一种利用关系数据库系统在一般图结构的半结构化数据上进行近似查询的途径。
Traditional relational database query language SQL is designed for relational tables, and not suitable for XML or GML semistructured data;
传统的关系数据库查询语言SQL是针对平面的二维关系数据而设计的，并不适合XML/GML半结构化数据的查询；
XML (Extensible Markup Language) is a good tool for representing and processing complex data, especially semistructured data for its reasonable data organization structure and extensibility.
可扩展标识语言以其合理的数据组织结构和可扩展的特性，成为各种复杂数据，特别是半结构化数据表示和处理的良好工具。
XML (Extensible Markup Language) is a good tool for representing and processing complex data, especially semistructured data for its reasonable data organization structure and extensibility.
可扩展标识语言以其合理的数据组织结构和可扩展的特性，成为各种复杂数据，特别是半结构化数据表示和处理的良好工具。
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