系统矿物学数据特征分析及数据库建设
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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。
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.
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.
引文
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[14]Morrison S M,Liu Chao,Eleish A,et al.Network Analysis of Mineralogical Systems[J].American Mineralogist,2017,102(8):1588-1596.
[15]吴志春,郭福生,林子瑜,等.三维地质建模中的多源数据融合技术与方法[J].吉林大学学报(地球科学版),2016,46(6):1895-1913.Wu Zhichun,Guo Fusheng,Lin Ziyu,et al.Technology and Method of Multi-Data Merging in 3DGeological Modeling[J].Journal of Jilin University(Earth Science Edition),2016,46(6):1895-1913.
[16]洪跃,崔海峰.Wiki的应用领域与发展分析[J].中国科技资源导刊,2008,40(2):39-43.Hong Yue,Cui Haifeng.Ponderover the Pluralism of Wiki Current Situation and Wiki Development[J].China Science and Technology Resources Review,2008,40(2):39-43.
[17]诸云强,潘鹏,石蕾,等.科学大数据集成共享进展及面临的挑战[J].中国科技资源导刊,2017,49(5):2-11.Zhu Yunqiang,Pan Peng,Shi Lei,et al.Progress and Challenge of Scientific Big Data Integration and Sharing[J].China Science and Technology Resources Review,2017,49(5):2-11.
[2]何明跃,吴淦国.矿物、岩石、矿石标本资源及矿床描述标准[M].北京:地质出版社,2013.He Mingyue,Wu Ganguo.Mineral,Rock and Ore Specimen Resources and Deposit Description Standard[M].Beijing:Geological Publishing House,2013.
[3]Commission on New Minerals Nomenclature and Classification,International Mineralogical Association[DB/OL].(2018-3-10)[2018-03-20].http://pubsites.uws.edu.au/ima-cnmnc/.
[4]王濮,李国武.1958―2012年在中国发现的新矿物[J].地学前缘,2014,21(1):40-51.Wang Pu,Li Guowu.New Minerals Found in China(1958-2012)[J].Earth Science Frontiers(China University of Geosciences(Beijing);Peking University),2014,21(1):40-51.
[5]何明跃,杨眉,吴志远.国家岩矿化石标本资源共享平台的构建[J].科研信息化技术与应用,2017,8(4):36-43.He Mingyue,Yang Mei,Wu Zhiyuan.Construction of National Mineral Rock and Fossil Specimen Resource Sharing Infratructure[J].E-Science Technology and Application,2017,8(4):36-43.
[6]地质矿产术语分类代码:第9部分:结晶学及矿物学:GB/T 9649.9-2009[S].北京:中国标准出版社,2009.Terminology Classification and Code of Geology and Mineral Resources:Part 9:Crystallography and Mineralogy:GB/T 9649.9-2009[S].Beijing:Standards Press of China,2009.
[7]秦善.结构矿物学[M].北京:北京大学出版社,2011.Qin Shan.Structural Mineralogy[M].Beijing:Peking University Press,2011.
[8]李胜荣,许虹,申俊峰,等.结晶学与矿物学[M].北京:地质出版社,2012.Li Shengrong,Xu Hong,Shen Junfeng,et al.Crystallography and Mineralogy[M].Beijing:Geological Publishing House,2012.
[9]赵思艺,何明跃.矿物晶体标本的三维可视化展示设计与实现[J].科研信息化技术与应用,2017,8(4):93-98.Zhao Siyi,He Mingyue.Design and Implementation of3D Visualization of Mineral Crystals[J].E-Science Technology and Application,2017,8(4):93-98.
[10]谢园,杨眉,何明跃,等.科学标本资源汇交整编规范与实践[J].中国科技资源导刊,2017,49(5):20-29.Xie Yuan,Yang Mei,He Mingyue,et al.Aggregation Standard and Experience of Scientific Specimen Resources[J].China Science and Technology Resources Review,2017,49(5):20-29.
[11]Mineralogy Database[DB/OL].(2017-12-15)[2018-02-20].http://webmineral.com/.
[12]Handbook of Mineralogy[DB/OL].(2017-09-30)[2018-02-20].http://www.handbookofmineralogy.org/.
[13]Krivovichev S V.Structural Complexity of Minerals:Information Storage and Processing in the Mineral World[J].Mineralogical Magazine,2013,77(3):275-326.
[14]Morrison S M,Liu Chao,Eleish A,et al.Network Analysis of Mineralogical Systems[J].American Mineralogist,2017,102(8):1588-1596.
[15]吴志春,郭福生,林子瑜,等.三维地质建模中的多源数据融合技术与方法[J].吉林大学学报(地球科学版),2016,46(6):1895-1913.Wu Zhichun,Guo Fusheng,Lin Ziyu,et al.Technology and Method of Multi-Data Merging in 3DGeological Modeling[J].Journal of Jilin University(Earth Science Edition),2016,46(6):1895-1913.
[16]洪跃,崔海峰.Wiki的应用领域与发展分析[J].中国科技资源导刊,2008,40(2):39-43.Hong Yue,Cui Haifeng.Ponderover the Pluralism of Wiki Current Situation and Wiki Development[J].China Science and Technology Resources Review,2008,40(2):39-43.
[17]诸云强,潘鹏,石蕾,等.科学大数据集成共享进展及面临的挑战[J].中国科技资源导刊,2017,49(5):2-11.Zhu Yunqiang,Pan Peng,Shi Lei,et al.Progress and Challenge of Scientific Big Data Integration and Sharing[J].China Science and Technology Resources Review,2017,49(5):2-11.