【摘要】 在将SVG文档存入对象关系型数据库后,探讨了如何利用扩展SQL语句(SQL3/SQL99)进行搜索的方法;同时,讨论了将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大大提高搜索速度,且不需占用过多的系统资源。更多还原

【Abstract】 In practice terms,it is impossible to avoid a great deal of spatial data processing when publishing with SVG document through Internet.Therefore,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.It was proposed to store the SVG document into ORDBMS,and to use the extended SQL(SQL3/SQL99) to make searching.At the same time,another storing and searching method based on native XML database(NXD) was also executed,using XQuery language for searching approach.The results show that both of SVG searching methods of database are very efficient and take less system resources than publishing the document directly on client side.更多还原