摘要
非结构化数据与结构化数据的融合是数字矿山建设的重要组成部分。由于非结构化数据本身的数据特点,使得它与结构化数据的融合面临极大的困难。融合了多种数据模型构造了一种扩充的面向对象的数据模型,较好地解决了非结构化数据快速显示和更新的问题,同时又能满足数据融合的各种需要,并结合实例实现了该模型,取得了良好的效果。
Data Fusion of the non-structured data and structured data plays an important role in the construction of Digital Mine. Data fusion is confronted with heavy difficulty because of the characteristics of the non-structured data. This paper synthesizes two kinds of data model and builds an extended object-oriented model. This model solves the problems of display and update quickly of non-structured data and meets all kinds of needs of data fusion. An available method in practice applications is researched as well.
出处
《地理空间信息》
2006年第3期15-17,共3页
Geospatial Information
基金
国家自然科学基金资助项目(50309013)(40572166)
地质过程与矿产资源国家重点实验室开放研究基金资助项目(MGMR2002-05)
