| 大数据与地质资料信息服务:需求、产品、技术、共享 |
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| 引用本文： | 王 翔1,2,3, 李景朝1, 陈 辉4, 茹湘兰1, 范海明5, 郑 啸1, 梁婉娟1. 大数据与地质资料信息服务:需求、产品、技术、共享[J]. 地质通报, 2015, 34(07): 1309-1315. |
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| 作者姓名： | 王 翔1 2 3 李景朝1 陈 辉4 茹湘兰1 范海明5 郑 啸1 梁婉娟1 |
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| 作者单位： | 1.中国地质调查局发展研究中心,北京 100037;2.中国地质大学(北京)地球科学与资源学院,北京 100083;3.中国地质大学(北京)国土资源与高新技术研究中心,北京100083;4.中国地质调查局,北京 100037;5.山西省地质调查院,山西 太原 030001 |
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| 摘 要： | 地质工作需加强成果服务水平、扩大服务范围、转变服务方式，开展地质资料信息大数据服务迫在眉睫。以地质资料信息服务为主线，需求、技术、共享为分支，开展新形势下地质调查成果深层分析，研究地质调查成果体系建设方案，对需求转换方式、地质产品理论实践研究、地质成果共享等进行详细论述，充分研究地质大数据思想下的地质资料信息服务。
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| 关 键 词： | 大数据 地质资料 联动共享服务 |
Big and geological data information services |
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| WANG Xiang1,2,3, LI Jingchao1, CHEN Hui4, RU Xianglan1, FAN Haiming5, ZHENG Xiao1, LIANG Wanjuan1. Big and geological data information services[J]. Geological Bulletin of China, 2015, 34(07): 1309-1315. |
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| Authors: | WANG Xiang1 2 3 LI Jingchao1 CHEN Hui4 RU Xianglan1 FAN Haiming5 ZHENG Xiao1 LIANG Wanjuan1 |
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| Affiliation: | 1. Development and Research Center, China Geological Survey, Beijing 100037, China;2. School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China;3. Institute of High and New Techniques Applied to Land Resources, China University of Geosciences(Beijing), Beijing 100083, China;4. China Geological Survey, Beijing 100037, China;5. Shanxi Institute of Geological Survey, Taiyuan 030001, Shanxi, China |
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| Abstract: | It is extremely urgent to carry out big data services for geological data information in order to further enhance the service level and range of the national geological survey work achievements, transform the mode of services. This Paper focuses on geological data information services and follows the three branches of requirements, technology and sharing to carry out in-depth analysis of the geologicalsurvey results under the new situation, study the construction of the geological survey achievement system, and conducts the theory and practice study, and discusses in detail the sharing of geological findings, and fully demonstrate the geological data information in the idea of geological big data. |
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| Keywords: | big data geological data shared services |
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