2018, 10(3): 108-111. doi: 10.16670/j.cnki.cn11-5823/tu.2018.03.20
浅谈关于海量城建档案数据的深度挖掘和分析
四平市城市建设档案馆,四平 136000 |
Brief Discussion on Deep Excavation and Analysis of Massive Urban Construction Archives Data
Siping City Construction Archives, Siping 136000, China |
引用本文: 王静岩. 浅谈关于海量城建档案数据的深度挖掘和分析[J]. 土木建筑工程信息技术, 2018, 10(3): 108-111. doi: 10.16670/j.cnki.cn11-5823/tu.2018.03.20
Citation: Wang Jingyan. Brief Discussion on Deep Excavation and Analysis of Massive Urban Construction Archives Data[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2018, 10(3): 108-111. doi: 10.16670/j.cnki.cn11-5823/tu.2018.03.20
摘要:本文针对城建档案海量数据的深度挖掘和分析,分别从当前研究的背景与意义,开展城建档案数据挖掘与分析主要内容、关键技术、前景分析几个方面做了阐述。城建档案挖掘与分析主要是以分析、关联、整合档案数据为核心,建立完整的城市建设基础信息数据库,对城建档案用户进行数据分析;建立知识服务引擎、网络化信息资源灵活组合方式、智能化信息服务,为用户提供辅助决策服务;构建空间辅助决策支持系统,提供知识检索、统计汇总、空间模型分析、辅助决策专题制图等功能。未来城建档案将向管理查询自动化、数据资源一体化、服务网络化发展,更好的利用城建档案数据做好决策辅助服务。
Abstract: In view of the deep excavation and analysis of massive urban construction archives data, this paper expounds the background and significance of current research, and carries out the main contents, key technologies and prospect analysis of data excavation and analysis of urban construction archives. The excavation and analysis of urban construction archives, which is mainly based on analysis, correlation and integration of archival data, is able to establish a complete database of urban construction basic information, and to analyze data of users of urban construction archives. Through establishing a knowledge service engine, a flexible combination of networked information resources and intelligent information services, it can provide users with auxiliary decision-making services. There also can be a supporting system aiding spatial decision-makings, providing knowledge retrieval, statistical summarization, spatial model analysis, aided decision-making, thematic mapping, and other functions. In the future, the urban construction archives will develop towards management query automation, data resource integration and service networking, making better use of urban construction archives data for better decision support services.
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