| 系统矿物学数据特征分析及数据库建设 |
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| 引用本文： | 董晋琨,杨眉,吴志远,秦善,王雨薇.系统矿物学数据特征分析及数据库建设[J].吉林大学学报(地球科学版),2019,49(3):727-736. |
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| 作者姓名： | 董晋琨 杨眉 吴志远 秦善 王雨薇 |
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| 作者单位： | 1. 中国地质博物馆, 北京 100034;2. 中国地质大学(北京)科学研究院, 北京 100083;3. 中国地质大学(北京)信息网络中心, 北京 100083;4. 北京大学地球与空间科学学院, 北京 100871;5. 中国地质大学(北京)珠宝学院, 北京 100083 |
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| 基金项目： | 国家科技基础条件平台建设项目（2005DKA21405）；科技基础性工作专项项目（2013FY110900） |
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| 摘 要： | 在大数据及信息共享时代,迫切需要构建系统矿物学数据库,为地学及相关领域的科技创新、人才培养及公众提供共享服务。本文通过系统矿物学理论和国家级数据库建设实践经验,提出了系统矿物学数据中矿物种的分级、分类、编码和矿物名称、化学成分、晶体形态、晶体结构、物理性质、化学性质以及矿物的成因和产状等基本数据项的构建方法和规范;设计了用于建立数据库的数据字典、数据类型和功能模块;介绍了系统矿物学数据库发布的软硬件环境以及整体技术架构,并在国家科技基础条件平台应用实践;最后探讨了矿物学数据挖掘和维基理念与技术在矿物学大数据库建设中的应用。
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| 关 键 词： | 系统矿物学 分类特征 矿物数据库 地质大数据 |
| 收稿时间： | 2018-03-26 |
Systematic Mineralogy Data Characteristics and Database Construction |
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| Dong Jinkun,Yang Mei,Wu Zhiyuan,Qin Shan,Wang Yuwei.Systematic Mineralogy Data Characteristics and Database Construction[J].Journal of Jilin Unviersity:Earth Science Edition,2019,49(3):727-736. |
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| Authors: | Dong Jinkun Yang Mei Wu Zhiyuan Qin Shan Wang Yuwei |
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| Institution: | 1. The Geological Muesum of China, Beijing 100034, China;2. Institute of Earth Sciences, China University of Geosciences, Beijing 100083, China;3. Information Network Center, China University of Geosciences, Beijing 100083, China;4. School of Earth and Space Sciences, Peking University, Beijing 100871, China;5. School of Gemmology, China University of Geosciences, Beijing 100083, China |
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| Abstract: | In the era of big data and information sharing, it is urgent to build a database of mineralogy systems to provide support for scientific and technological innovation, talent training in geosciences and related fields, and to provide sharing services for the public. Based on the systematic mineralogy theory and practical experiences in the construction of national database, the authors put forward mineral level, classification and coding of mineral species, as well as the methods and specifications for the establishment of basic data items such as mineral names, chemical components, crystal forms, crystal structures, physical properties, chemical properties, and the origin and occurrence. The authors designed the overall technical architecture and the data dictionary, data types, and function modules used to build the database, introduced the software and hardware environment for the publication of the systemic mineralogy database, and practiced on the National Science & Technology Infrastructure. Moreover, the authors discussed the application of mineralogical data mining and wiki concepts and technologies in the construction of a big mineralogical database. |
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| Keywords: | systematic mineralogy classification feature mineral database big data of geology |
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