The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type descriptio...The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.展开更多
目前,地理信息系统(geographic information system,GIS)业界在符号库结构上还没有制定明确的、统一的标准,各GIS商业软件的符号库构建思路和结构各异.充分利用可扩展标记语言(extensible markup language,简称XML)强大的自我描述能力...目前,地理信息系统(geographic information system,GIS)业界在符号库结构上还没有制定明确的、统一的标准,各GIS商业软件的符号库构建思路和结构各异.充分利用可扩展标记语言(extensible markup language,简称XML)强大的自我描述能力、开放性、平台无关性和灵活性特点,建立一种通用的地图符号描述模型.提出异构GIS平台下地图符号共享的解决方案和实现的关键技术,并在中国岩石圈三维结构数据库项目研究中验证了通用地图符号库实用性.展开更多
文摘The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.
文摘目前,地理信息系统(geographic information system,GIS)业界在符号库结构上还没有制定明确的、统一的标准,各GIS商业软件的符号库构建思路和结构各异.充分利用可扩展标记语言(extensible markup language,简称XML)强大的自我描述能力、开放性、平台无关性和灵活性特点,建立一种通用的地图符号描述模型.提出异构GIS平台下地图符号共享的解决方案和实现的关键技术,并在中国岩石圈三维结构数据库项目研究中验证了通用地图符号库实用性.