摘要
在利用SVG进行空间信息发布时,始终存在大数据量的问题,故对SVG矢量图形进行搜索时,存在搜索速度慢,又占用系统资源的问题。在将SVG文档存入对象关系型数据库(ORDBMS)后,探讨如何利用扩展SQL语句(SQL3/SQL99)进行搜索的方法;同时,讨论将SVG文档存入本源数据库后,利用XQuery语句搜索的方法。研究表明,基于这两种数据库的SVG搜索,均可在客户端执行时提高搜索速度,且不需占用过多的系统资源。
SVG is an open standard of W3C ,it is widely used on expressing the spatial information. In practice terms, it’s impossible to avoid a great capacity of spatial data processing during publishing with SVG document through Internet. So it not only slows down the executing speed but also expend too much the resource of computer system when searching the spatial data in SVG document. This paper proposes to store the SVG document into ORDBMS, and tries to use the extended SQL (SQL3/SQL99) to make a searching method. At the same time, another storing and searching method based on native XML database was also executed and used XQuery language for searching approach. The results shown, both of the databases can be very efficient and take less system resources than publishing the document directly on client side.
出处
《计算机与数字工程》
2007年第7期135-138,共4页
Computer & Digital Engineering
基金
广东省百项工程"广东省空间信息共享技术与应用研究"项目(编号:2002B32101)资助。