本体驱动的岷江流域水文气象灾害信息空间分析研究[EB/OL]
北京：中国科技论文在线
） 摘要： 本文研究了运用本体驱动的空间分析方法从海量多源异构的岷江流域水文气象数据中获取有效防灾减灾信息的问题
建立了基于Mereotopology与定位理论的流域水文气象本体模型
而且通过本体驱动的空间分析技术
该模型不仅存储了岷江流域水文、地理、气候等海量多源异构的资源信息
水文气象灾害信息
本研究为水文气象灾害的防灾减灾信息化管理探索了一条新的途径
揭示了流域水文气象灾害存在状态以及变化趋势之间的内在关系
） Abstract： This thesis focuses on the ontology-driven spatial analysis for hydrometeorological disaster information management, creates an ontology model of basin hydrometeorology based on Mereotopology and positioning theory and develops the management system of hydrometeorological disaster information of Minjiang River basin
The results of experiments have showed that this system not only can store abundant resource information of hydrology, geography and climate, but also is able to demonstrate the inner connection between the existing state and the changing trend of basin hydrometeorology through spatial analysis technology
This research explores a new way for combining ontology with hydrometeorological disaster information management
Keywords： ontology-driven spatial analysis, Mereotopology, positioning theory, hydrometeorological disaster information, multi-layers ontologies
下载PDF阅读器 PDF全文下载： 初稿 （ 38 ） 作者简介： Ao TianQi,male,Professor,was born in 1964, mainly engaged in the research and teaching of water resources and hydrology distributed hydrological model
通信联系人： 【收录情况】 中国科技论文在线： 敖天其
