摘要
针对当前结构化数据和非结构化数据融合困难,提出了一种采用Word模板构造可扩充的、面向对象的数据模型。其方法是,采用Word可扩充标记语言生成文档模板,对结构化数据关键区域进行标记,采用文档模式解析替换标记内容,非结构化数据根据具体场景自由输入。最后生成完整的Word文档,较好解决了两类数据快速显示和动态更新问题,同时也满足了各种数据融合需求。实例证明基于Word模板的结构化和非结构化数据融合方式是可行的。
Aiming at the difficulty of current structured data and unstructured data fusion, a data model based on Word template was proposed to construct an extensible, object-oriented data model. Word markup language was used to generate document templates, mark key areas of the structured data, replace the tag content with document mode analysis, and unstructured data was input according to the specific scene. Finally a complete Word document was genaratedto implement the display and dynamic update of two types of data quickly, and met a variety of data fusion needs. The example proves that structured and unstructured data fusion based on Word template is feasible.
出处
《计算机应用》
CSCD
北大核心
2017年第A02期241-243,共3页
journal of Computer Applications
关键词
数字研发系统
结构化数据
非结构化数据
数据融合
digital research and development system
structured data
unstructured data
data fusion