一种模型驱动空间数据库质量检查平台构建

质量检查是空间数据质量控制的关键环节，空间数据库包括矢量空间数据、专题属性数据及元数据等，质量检查内容繁多。现有空间数据库质检软件往往为某一项目“量身定制”，灵活性低。本文从空间数据库质量特征及其语义表达出发，对空间数据库质检规则进行了分析和研究，提出了空间数据库质检DRST模型，并基于该模型开发构建了一套能够适用于各类空间数据库质检需要的平台软件。该平台已在江西省房地一体确权登记数据库质检、第三次国土调查成果数据库质检、地理国情监测成果数据库质检等项目中得到应用。应用实践表明，平台具备良好的适应性和扩展性，为提高空间数据库质量检查效率、解决质检软件生命周期短等问题提供了有效途径。

Construction of a model driven spatial database quality inspection platform

Quality inspection is a key point in quality control of spatial database. The spatial database consists of vector spatial data, thematic attribute data, metadata and so on. A complete inspection of a spatial database includes multiple requirements. However, existing spatial database quality inspection software are often tailored for one certain project,lacking of flexibility. Starting from the quality characteristics and its semantic expression of spatial databases, this paper analyses and studies the quality inspection rules of spatial databases, puts forward a DRST model for quality inspection of spatial databases, and develops a platform software based on this model, which can meet the needs of quality inspection of various spatial databases. The platform has been applied in the quality inspection of Jiangxi province’s real estate registration database, the third land survey and the geographical national condition monitoring results. The application practice indicates that the platform has good adaptability and expansibility, which provides an effective way to improve the efficiency of spatial database quality inspection and solves the problems of short life cycle of quality inspection software.