空间信息网格环境下的矿产资源证据权评价方法研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
如何构建跨地域、跨部门的地质空间信息资源共享框架,在海量地质空间数据分布式存储的条件下实现高效率的矿产资源评价工作,是目前研究的热点之一。空间信息网格技术基于面向服务体系结构(SOA),构建了面向空间信息处理的共享框架和技术平台,为上述问题提供了解决思路和可行的解决方案。
     本研究论文基于空间信息网格的框架与技术,以证据权法为典型评价方法,构建了空间信息网格环境下的矿产资源评价服务体系,并成功应用于矿产资源评价实际工作中。
     本文详细地阐述了空间信息网格环境下的矿产资源评价体系结构、证据权模型设计以及工作流程,提出了基于WSRF的证据权法评价体系结构,通过基于框架的服务发现机制与方法、服务注册与发布、服务接口设计等关键技术,构建服务虚拟化框架,将SOA应用于矿产资源评价中,提高系统对分布式数据和分布式评价计算功能的集成能力。
     在构建地质空间数据一体化分析与处理平台的基础上,建立了矿产资源证据权法网格评价系统,实现了分布式、在线的、资源共享式的矿产资源评价功能,有效地解决了原有方法中评价周期长、方法更新慢、数据共享难的问题,提高了矿产资源评价的效率。系统已连通江苏、安徽、江西、湖北、四川、云南、西藏和北京结点,并开始实际业务模式运行。将系统应用于长江中下游成矿带和西南三江成矿带铜矿资源评价中,评价成果通过验收,获得了比较满意的评价。
Mineral resources evaluation is an important research item in the field of geology and mineral resources. It is a significant subject that improving the credibility, reliability of evaluation results and prospecting efficiency with computer technique. The application-oriented research on mineral resources evaluation by weights of evidence model based on Spatial Information Grid (SIG) is considered as two reasons: 1) Information island phenomenon appears because of Chinese geological changes in its operating system that geological data distributed in various regions and units that data are difficulty in sharing, and 2) There are large amounts of computation during the process of mineral resources evaluation. The assessment computing could not be completed on a high-performance server in a short period of time. SIG technology provides solutions to the problems above.
     Supported by the National High Technology Research and Development Program "Resources and Environment Information Sharing and Application Services based on Spatial Information Grid" (No.2002AA134010), the paper proposes the mineral resources evaluation by weights of evidence model based on spatial information grid and its application. The paper takes weights of evidence model as typical model, proposes the Mineral Resources Grid and its architecture and builds data integration platform, then develops mineral resources evaluation system based on SIG. Based on analyzing grid technology, Web Services Resources Framework and support of SOAP, WSDL, UDDI and XML standard agreement, it realizes the grid evaluation system based on Web services with Service-Virtualization and Service-Discovery mechanism.
     Mineral resources evaluation by weights of evidence model (WEM) is usually applied to evaluation on mineral resources. The paper describes the theory of mineral resources evaluation by WEM, including apdodty probability computing, weights of evidence computing, posterior probability and independence test. Based on the work steps and work flow of WEM based on GIS, it designs WEM web services, including apriority probability computing web service, weights of evidence computing web service, posterior probability web service and independence test web service, and gives the algorithm of web services and the sort of the component model, which are the foundation of mineral resources evaluation based on SIG.
     The paper introduces the concept of Grid, Grid GIS and SIG. It analyses in detail the agreement, role and life-cycle of Web services technology, which is one of the key technologies of SIG. Based on XML protocol, web services technology solves the problem that how to call grid services for evaluation system to satisfy the user's needs. And web service is the basic unit of SIG.
     Grid architecture is the framework of grid. The paper analyses three kinds of grid architectures, including protocol-oriented Five-Level Sandglass Architecture, service-oriented Open Grid Service Architecture and Web Services Resource Framework (WSRF), and discusses in detail the concept and service mechanism of WSRF. On the base of WSRF, the paper puts forward a 3-layer framework of assessment system by WEM based on SIG, including Data Service Layer, Data Processing Layer and Application Layer. According to 3-layer architecture, the evaluation method and work flow of mineral resources evaluation by WEM based on SIG are given.
     Service-oriented architecture is an approach to defining integration architectures based on the concept of a service. The paper puts forward the method to realize the mineral resources grid evaluation based on SOA. Based on Web Service-discovery mechanism, Web Services Register and Publication technology, it builds Web Service-Virtualization framework to realize distributed geospatial data integration and distributed computing function integration.
     In this paper, the author takes geospatial data analysis and integration application platform oriented resources integrating, resources sharing and application services as entrance for Internet users to request all kinds of mineral resources evaluation web services, which are designed as sets of public geospatial information services based on SIG that solve the problems of heterogeneous integration of geological data display and attribute extraction. Compensative processing flow based on web services is adopted by the modules of platform, such as the human-machine intercommunication interface processing flow and the component processing flow on system control.
     The mineral resources grid evaluation system by WEM is developed under the development environment of C# and.NET framework, based on the technology of MapGIS function library and SQL Server database. The evaluation system integrates heterogeneous data integration operation technology, geospatial data extraction technology and grid evaluation by WEM technology. And it realizes the mineral resources grid evaluation which is online, distributed and resources sharing. Evaluation gdd consists of Jiangsu grid node, Anhui grid node, Jiangxi grid node, Hubei grid node, Sichun grid node, Yunnan grid node, Xizang grid node and Beijing grid node. The evaluation method based on SIG has been applied in practical assessment which realizes acquiring, integrating, computing and analyzing geospatial data intellectively.
     The mineral resources grid evaluation system by WEM has been applied into the prediction of copper mineral occurrence in the Middle-Lower Yangtze Metallogenic Belt and the Three-river Metallogenic Belt, Southwest China. According to the posterior probability value of each geological element, also considering geological metallogenic laws, the author draw 56 copper mineral prognosis regions in the Middle-Lower Yangtze Metallogenic Belt, including 30 ore-prospective target regions of grade-A and 26 ore-prospective target regions of grade-B. Meanwhile, 18 typical modeling deposits are all in prognosis regions and some of prognosis regions are new. Geologists should pay more attention on these new prognosis regions. In the Three-river Metallogenic Belt, the author draw 12 copper mineral prognosis regions, including 5 ore-prospective target regions of grade-A and 7 ore-prospective target regions of grade-B. Assessment results passed the relative examination. It is proved that the structure, the grid evaluation model and evaluation method in this paper are practical and operative which can be applied in the field of mineral resources evaluation.
     At the beginning stage of research, there is no unified framework and technical specifications of Spatial Information Grid technology. It can combine with all the work in this dissertation represents certain use for reference to the research on mineral resources evaluation based on SIG which can be useful for relevant research.
引文
[1]叶天竺.空间信息格网及其在地质工作中的应用[J].地球信息科学,2006,8(4):4-7.
    [2]肖志坚,左爱利,班宜忠,等.基于空间信息网格(SIG)的矿产资源评价[J].地质通报,2006,25(5):630-635.
    [3]薛群威,肖克炎,刘锐.基于GIS的资源评价网格计算[J].物探化探计算技术,2006,28(2):157-160.
    [4]Singer D A. Basic concepts in three part quantitative assessments of undiscovered mineral resources [J]. Nonrenewable Resources, 1993, 2(2): 69-81.
    [5]Singer D A. Some suggested future directions of quantitative resources assessment [J]. Journal of China University of Geosciences, 2001, 12(1): 40-44.
    [6]Harris D P, Zurcher L, Stanley M et al. A Comparative Analysis of Favorability Mappings by Weights of Evidence, Probabilistic Neural Networks, Discriminated Analysis, and Logistic Regression. Natural Resources Research, 2003, 12(4):241-255.
    [7]Cox D P, Singer D A. Mineral Deposit Models. Translated by Song Boqing et al. Beijing: Geological Publishing House, 1990, 1-378 (in Chinese).
    [8]McCammon R B, Briskey J A. A proposed national mineral-resource assessment. Nonrenewable Resources, 1992, 1(4):259-265.
    [9]肖克炎,丁建华,刘锐.美国“三步式”固体矿产资源潜力评价方法评述[J].地质论评,2006,52(6):793-798.
    [10]杨永华.蒙特卡罗方法与矿产资源评价[J].地质与勘探,1985,21(1):45-50.
    [11]尹增谦,管景峰,张晓宏,等.蒙特卡罗方法及应用[J].物理与工程,2002,12(1):45-49.
    [12]王岩,尹海丽,窦在祥.蒙特卡罗方法应用研究[J].青岛理工大学学报,2006,27(2):111-113.
    [13]王银宏,严光生,翟裕生.三部式潜在矿产资源定量评价与蒙特卡罗模拟[J].中国矿业,2006,15(6):14-17.
    [14]Bonham-Carter G F, Agterberg F P, Wright D F. Weights of evidence modelling: a new approach to mapping mineral potential. In: Bonham-Carter G F, Agterberg F P. Statistical Applications in the Earth Sciences. Geological Survey of Canada, 1989, 171-183.
    [15]Bonham-Carter G F. Geographic information forgeoscientists: Modeling with GIS [M]. Elsevier Sciences Press USA, 1994.
    [16]Agterberg F P, Bonham-Carter G F, Wright D F. Statistical pattern integration for mineral exploration. In: Gaal G, Merriam D F (Eds.). Computer Applications in Resource Exploration and Assessment for Minerals and Petroleum. Pergamon, Oxford, 1990.
    [17]Agterberg, F P. Combing indicator patterns for mineral resources evaluation, in China University of Geosciences (Eds.), Proceedings of International Workshop on Statistical Prediction of Mineral Resources, Wuhan, China, 1990.
    [18]Raines G L. Evaluation of weight of evidence to predict epithermal gold deposits in the Great Basin of Western United States [J]. Natural Res. Res., 1999, 8 (4): 257-276.
    [19]Harris D P, Wilkinson L, Heather K et al. Application of GIS Processing Techniques for Producing Mineral Prospectivity Maps--A Case Study: Mesothermal Au in the Swayze Greenstone Belt, Ontario, Canada. Natural Resources Research, 2001, 10(2):91-124.
    [20]Boleneus D E, Raines G L, Causey J D et al. Assessment method for epithermal gold deposits in Northeast Washington State using weights-of-evidence GIS modeling. Open File Report-U.S. Geological Survey, Report: OF 01-0501,52 pp.., 2001.
    [21]Carranza, Emmanuel. Where porphyry copper deposits are spatially localized? A case study in Benguet Province, Philippines. Natural Resources Research (New York, N.Y.), 2002, 11(1):45-59.
    [22]张晓军,张均,秦举礼,等.川西北金矿的证据权模型及其预测应用[J].高校地质学报,2000,6(4):554-559.
    [23]韩绍阳,侯惠群,黄树桃.基于ArcView3.2的证据权重法在层间氧化带型砂岩铀矿定量评价中的应用[J].物探与化探,2002,26(6):443-449.
    [24]黄海峰,姚书振,丁振举.基于GIS的证据权重法在成矿预测中的应用——以甘肃省岷县-礼县地区的金矿预测为例[J1.地质科技情报,2003,22(3):77-82.
    [25]陈建平,王功文,侯昌波,等.基于GIS技术的西南三江北段矿产资源定量预测与评价[J].矿床地质,2005,24(1):15-23.
    [26]赵鹏大.“三联式”资源定量预测与评价—数字找矿理论与实践探讨[J].地球科学——中国地质大学学报,2002,27(5):482-489.
    [27]赵鹏大,池顺都.初论地质异常[J].地球科学——中国地质大学学报,1991,16(3):241-248.
    [28]赵鹏大,张寿庭,陈建平.“三联式”成矿预测新进展[J].地学前缘,2003,10(2):455-459.
    [29]叶天竺.固体矿产预测评价技术方法[M].武汉:中国地质大学出版社,2006.
    [30]陈永清,王世称.综合信息成矿系列预测的基本原理和方法[J].山东地质,1995,11(1):55-62.
    [31]王世称,陈永良,夏立显.综合信息矿产预测理论与方法[M].北京:科学出版社,2000.
    [32]王世称,范继璋,杨永华.矿产资源评价[M].吉林:科学技术出版社,1990.
    [33]徐志伟,冯百明,李伟.网格计算技术[M].北京:电子工业出版社,2004.
    [34]David De Roure, Mark A, Ncholas R et al. The Evolution of the Grid [EB/OL]. http://www.semanticgri.org/documents/evolution/evolution.pdf,2004-11-15.
    [35]David De Roure, Nicholas R Jennings, Nigel R Shadbolt. Research Agenda for the Semantic Grid: A Future e-Science Infrastructure [EB/OL].
    [36]http://www.semanticerid.ore/html/semarid.html.2006-4-28.
    [37]FAFNER: Factoring via Network-Enabled Recusion. http://cs-www.bu.edu/cgi-bin FAFNER/factor.pl.2006-3-15.
    [38]Foster I., Geisler J., Nickless W. et al. Software Infrastructure for the I-WAY high Performance Distributed Computing Experiment.Proc.Sth IEEE Symposium on High Performance Distributed Computing, 1997,562-571.
    [39]Foster I., Kesselman C. Globus: A Metacomputing Infrastructure Toolkit. Supercomputer Applications, 1997, 11 (2): 115-128.
    [40]Grimshaw A., Wulf W. The Legion Vision of a Worldwide Virtual Computer.Communications of the ACM, 1997, 40(1).
    [41]W3C.Extensible Markup Language (XML) 1.0 Specification.W3C Recommendation, 1998-02-10, See http://www.w3.org/TR/REC-xml.
    [42]肖连兵,黄林鹏.网格计算综述[J].计算机工程,2002,28(3):1-3.
    [43]W3C.XML Path Language (XPath) Version 1.0.W3C Recommendation, See http://www.w3.org/TR/xpath.
    [44]http://www.sdsc.edu/DOCT/.2006-3-20.
    [45]http://punch.purdue.edu.2006-3-20.
    [46]http://entropia.com.2006-3-20.
    [47]http://folding.stanford.edu.2006-3-20.
    [48]http://www.ipg.nasa.gov.2006-3-20.
    [49]Figueiredo R.J.,Kapadia N.H.,and Fortes J.A.B.,2001,The punch virtual file system:Seamless access to decentralized storage services in a computational grid.Inproceedings of the Tenth IEEE International Symposium on High Performance Distributed Computing.IEEE Computer Society Press,August http://www.eu-datagrid.org/2006-3-20.
    [50]Romberg, Mathilde.The UNICORE Grid infrastructure.Scientific programming, 2002, 10(2) S.149 Special Issues on Grid Computing. 2006-3-20.
    [51]http://www.dutchgrid.nl/2006-3-20.
    [52]http://www.osi.ie/pdf/irish_grid.pdf/2006-3-20.
    [53]http://www.nordugrid.org/2006-3-20.
    [54]国家高科技研究发展计划(863计划).海量异构地质空间信息一体化分析与处理系统研究报告[R].北京:中国地质调查局发展研究中心,2006.
    [55]丁清峰.东昆仑造山带区域成矿作用与矿产资源评价[D],长春:吉林大学,2006.
    [56]Agterberg F P, Cheng Q, Wright D F. Fractal modeling of mineral deposits [A]. In: Elbrond J, Tang X, eds. Proceedings, APCOM ⅩⅩⅣ, international symposium on the application of computers and operations research in the mineral industries [C]. Montréal, Canada: Canad Inst Mining Metall, 1993.43-53.
    [57]Kemp L D, Bonham-Carter G F, Raines G L. ArcWofE: Arc View Extension for Weights of Evidence Mapping [EB/OL]. http://gis.nrcan.gc.ca/software/arcview/wofe.2006-9-20.
    [58]Agterberg F P, Bonham-Carter G F.Deriving weights of evidence from geoscience contour maps for prediction of discrete events: Proc.22nd APCOM Symp.Tech.Univ.Berlin, Germany, 1990, 2:381-396.
    [59]肖克炎,张晓华,陈郑辉,等.成矿预测中证据权重法与信息量法及其比较[J].物探化探计算技术,1999,21(3):223-225.
    [60]吴堑虹.利用GIS编制矿产预测图fJ].地质与勘探,2000,36(3):48-51.
    [61]朱创业.地理信息系统在矿产预测中的应用—以华蓥山锶矿带为例[J].成都大学学报(自然科学版),1999,18(4):36-38.
    [62]李颖,杨永强,范云芳.阿尔泰成矿区金矿预测图形库及属性库的建立方法[J].长春科技大学学报,2000,30(3):293-295.
    [63]肖克炎,张晓华,王四龙.矿产资源GIS评价系统[M1.北京:地质出版社,2004.
    [64]刘星,胡光道.应用MORPAS系统证据权重法进行多源信息成矿预测—以澜沧江南段地区为例[J].地质与勘探,2003,39(4):65-68.
    [65]袁峰,周涛发,岳书仓.GIS矿产资源预测中的证据权重法[J].黄金地质,2003,9(3):75-77.
    [66]都志辉,陈渝,刘鹏.网格计算[M].北京:清华大学出版社,2002.
    [67]马自卫.Internet实用技术[M].北京:人民邮电出版社,1996.
    [68]桂小林.网格技术导论[M].北京:北京邮电大学出版社,2005.
    [69]桂小林.基于Internet的信息网格的软件框架研究[J].西安交通大学学报,2004,38(6):551-554.
    [70]Foster I. What is the Grid? A Three Point Checklist. Grid Today, 2002, 1 (6).
    [71]Foster I., Kesselman C. The Anatomy of the Grid: Enabling Scalable Virtual Organization [J].The International Journal of High Performance Computing Applications, 15(3):200-222, 2001.
    [72]Foster I., Kesselman C. "The Grid: Blueprint for a New Computing Infrastructure Second Edition". Morgan Kaufman, November 2003.
    [73]李琦,曾澜,苗前军,等.空间信息基础设施与互操作[M].北京:科学出版社,2003.
    [74]景宁.空间信息栅格(SIG).2003杭州SIG会议讲稿.
    [75]林绍福.面向数字城市的空间信息Web服务互操作与共享平台——北京市信息资源网公众信息服务平台的设计与实现[D],北京:北京大学,2002.
    [76]肖侬.网格计算技术综述[J].计算机教育,2003,12(1):42-44.
    [77]Foster I., Kesselman C. Globus: A Metacomputing Infrastructure Toolkit. International Journal of Supercomputer Applications, 1997, 11 (2): 115-128.
    [78]Foster I., Kesselman C. The Grid: Blue'print for a Future Computing Infrastructure. San Francisco, USA: Morgan Kaufmann Publishers, 1999.
    [79]World Wide Web Consortium (W3C), Inc. Web Services Description Language (WSDL) Version 2.0[EB/OL]. http://www.w3.org/TR/2004/WD-wsd 120-20040803, 2005-12-14.
    [80]Richard Monson-Haefel. J2EE Web Services [M], Addison Wesley, 2003
    [81]柴晓路.Web服务架构与开放互操作技术[M].北京:清华大学出版社,2002.
    [82]柴晓路,梁宇奇.Web Services技术、架构和应用[M].北京:电子工业出版社,2003.
    [83]Web Services Architecture Draft 14[R], http://www.w3.org/TR/2002/WD-ws-arch-20021114/.2005-12-20.
    [84]Ashish Banerjee, Aravind Corera等. C# Web服务高级编程—使用.NET Remoting和ASP.NET创建Web服务[M].清华大学出版社,2002.
    [85]Keith Ballinger..NET Web Services: Architecture and Implementation [M]. Addison Wesley, 2003.
    [86]Jeff Ferguson,Brian Patterson.C#宝典[M].电子工业出版社,2002.
    [87]孙永强.Web服务深入编程[M].清华大学出版社,2002.
    [88]刘防修.网格计算技术的特点及关键技术[J].华东船舶工业学院学报(自然科学版),2002,16(6):94-96.
    [89]Web Service Description Language (WSDL) 1.1 [S], http://www.w3.org/TR/2001/NOTE-WSDL-20010315.2005-12-20.
    [90]Web Service Work Group [EB/OL]. http://www.w3.org/ws/2002.2005-12-20.
    [91]Chai Xiaolu.Web Services Architecture and Open Inter-Operation Technology [M].Beijing: Tsinghua, 2004.
    [92]Christensen E., Curbera F., Meredith G et al. Web services description language (WSDL) 1.1 [EB/OL]. http://www.w3.org/TR/2001/NOTE-wsd1-20010315.2004-3-22.
    [93]吕曦,王化文.Web services的架构与协议[J].计算机应用,2002,22(12):62-65.
    [94]Gudgin M., Hadley M. SOAP Version 1.2[EB/OL]. http://www.w3.ore/TR/2001/WD-soan12-20010709/2004-12-20.2006-8-20.
    [95]徐志伟,冯百明,李伟.网格计算[M].北京:电子工业出版社,2004.
    [96]徐志伟,李晓林,游赣梅.织女星信息网格的体系结构研究[J].计算机研究与发展,2002,39(8):948-951.
    [97]http://download.microsoft.com/download/7/b/3/7b3 aa957-4865-427d-9650-789179a5d666/VCON05_final.ppt 2006-10-26.
    [98]UDDI Version 2 Specifications[S], http://www.uddi.org. 2005-12-15.
    [99]Booth D, Haas H, Mccabe F et al. Web Services Architecture [EB/OL]. http://www.w3.org1TR12004/NOTE-ws-arch-20040211/wsa.pdf.2004.2005-11-6.
    [100]金宝轩.网格计算环境下的3维空间信息应用研究[D],武汉:武汉大学,2005.
    [101]徐森,王建国,李学文.基于网格的煤矿安全应用网格体系研究[J].计算机仿真,2005,22(12):234-237.
    [102]杜娟,关泽群.空间信息网格的框架体系和关键技术[J].地理空间信息,2005.3(2):27-29.
    [103]Steven Tuecke, Karl Czajkowski, Ian Foster et al. Grid Service Specification Draft [EB/OL], http://www.gridforum.org/ogsi-wg,2002. 2006-10-20.
    [104]邓永红.网格及网格计算技术综述[J].有线电视技术.2005,10(15):10-14.
    [105]龚强.基于网格解决空间信息问题的思考[J].测绘与空间地理信息,2004,27(5):11-13.
    [106]OGSA结构描述[EB/OL].http://www.gridforum.org/ogsi-wg/drafts/ogsa_draft2.9_2002-6-22.pdf
    [107]OGSA规范[EB/OL]. http://www.gridforum.org/ogsi-wg/drafts/GS_Spec_draft03_2002-07-7.pdf
    [108]Foster I. Kesselman C. Grid Services for Distributed System Integration [J], IEEE Computer, 2002, 35(6):37-46.
    [109]Tuecke S., Czajkowski K, Foster I et al. Open Grid Services Infrastructure Version 1.0[EB/OL]. http://www.ggf.org/documents/Drafts,2003
    [110]Open GIS Consortium. Web Map Service Implementation Specification [EB/OL], Version 1.1.1, OGC O1-068r3, 2002. http://www.opengis.org/techno/specs/01-068r3.pdf. 2006-9-10.
    [111]Web Service Resource Framework (WSRF) [EB/OL], http://www.globus.org/wsrf. 2005-12-20.
    [112]Deke Guo, Weiwei Yuan, Honghui Chen. Resource information management of Spatial Information Grid. The Second International Workshop on Grid and Cooperative Computing. Shanghai, 2003.
    [113]Leymann F. Web Services Flow Language (WSFL 1.0) [EB/OL]. http://www-4.ibm.com/software/solutions/webservices/pdf/WSFL.pdf.2006-9-8.
    [114]Karl Czajkowski, Donald F Ferguson, Ian Foster et al. "The WS-Resources framework. Global Grid Forum". March 2004.
    [115]Foster I. The virtual data grid: a new model and architecture for data-intensive collaboration. Scientific and Statistical Database Management, 15th International Conference on 9-11, July 2003.
    [116]OpenGIS Abstract Specification, OpenGIS Consortium, version4.2[S]. http://www.opengis.org. 2006-8-20.
    [117]Deke Guo, Honghui Chen, Xueshan Luo. "Resource information management of spatial information grid". In: LNCS3032, Springer, 2003, 240-243.
    [118]Wolfgang Hoschek. "The web service discovery architecture." In: Proc. of the Int'l. IEEE/ACM Supercomputing Conference, Baltimore, USA, 2002.
    [119]Yu Tang, Kaitao He, Nong Xiao et al. "Study on system framework and key issues of national geological application grid". Journal of Computer Research and Development, 2003, 40(12): 1682-1688.
    [120]唐宇.空间信息栅格(SIG)系统框架、服务体系与服务聚合技术研究[D],长沙:国防科技大学,2004.
    [121]唐宇,陈荦,何凯涛,等.空间信息栅格SIG框架体系与关键技术研究[J].遥感学报,2004,8(5):425-433.
    [122]Cauldwell P, Chawla R, Chopra V et al., Professional X1VIL Web Serviecs, Birmingham,UK,Wrox Press Ltd, 2001.
    [123]Francisco Curbera, Matthew Duftler, Rania Khalaf et al., Unraveling the Web Services Web An Introduction to SOAP, WSDL and UDDI,IEEE Internet Computing, 2002,6(2):86-93.
    [124]Gupta, Marciano R, Zaslavsky Iet al. Integrating GIS and Imagery through XML-Based Information Mediation, In: Proc.NSF International Workshop on Integrated Spatial Databases: Digital Images and GIS, Portland, Maine, (Lecture Notes in Computer Science, 1737), Springer-Verlag, 1999, 211-234.
    [125]岳昆,王晓玲,周傲英.Web服务核心支撑技术研究综述[J].软件学报,2004,15(3):428-442.
    [126]Klein M, Bernstain A. Searching services on the semantic Web using process ontologies. In: Isabel C, ed. Proc. of the Int'I Semantic Web Working Symp. Amsterdam: IOS Press, 2001, 159-172.
    [127]Burstein MH, Hobbs JR, and Lassila O et al. DAML-S: Web service description for the semantic Web. In: Horrocks, ed.Proc. Of the Int'l Semantic Web Conf. Sardinia: Springer-Verlag, 2002, 348-363.
    [128]Dong X, Halevy A, Madhavan J et al. Similarity Search for Web Services, In: Proceedings of the 30th VLDB Conference, 2004, 372-383.
    [129]陈荦,景宁.基于空间索引的分布式空间数据Web服务发现fJ].地理与地理信息科学,2005,21(3):14-18.
    [130]李德仁,朱欣焰,龚健雅.从数字地图到空间信息网格—空间信息多级网格理论思考[J].武汉大学学报(信息科学版),2003,28(6):642-650.
    [131]李德仁,崔巍.空间信息语义网格[J].武汉大学学报(信息科学版),2004,29(10):847-851.
    [132]于雷易.基于空间数据网格的空间数据共享技术研究[D],武汉:武汉大学,2004.
    [133]李慧盈.基于空间信息XML Web服务的WebGIS的研究与实现[D],长春:吉林大学,2004.
    [134]夏曙东,李琦,承继成.空间信息格网框架体系和关键技术分析[J].地球信息科学,2002,14(4):30-35.
    [135]王敏,李静,范中磊,等.一种虚拟化资源管理服务模型及其实现[J].计算机学报,2005,28(5):856-860.
    [136]赵念强,鞠时光.网格计算及网格体系结构研究综述[J].计算机工程与设计,2006,27(5):728-734.
    [137]王嫚.网格环境下资源管理关键技术的研究[D],北京:北京邮电大学,2006.
    [138]Extensible Markup Language (XML) 1.0 (Second Edition) [EB/OL]. http://www.w3.org/TR/2000/REC-xml-20001006. 2005-12-8.
    [139]S. Chen, W. Zhang, and F. Ma et al, The Design of a Grid Computing System for Drug Discovery and Design, The 3rd International workshop on Grid and Cooperative Computing (GCC2004), Wuhan, 2004, pp. 799-802.
    [140]World Wide Web Consortium (W3C), Inc. Extensible Markup Language (XML) 1.1 [EB/OL]. http://www.w3.org/TR/2003/PR-xml-20031105/,2005-6-14.
    [141]Guo Chaozhen, Zhuang Miao, Wang Honghong et al. A Cooperation Mechanism for Spatial Information Sharing. Computer Supported Cooperative Work in Design, 2002. The 7th International Conference on, 2002, Page(s): 473-478.
    [142]X. Li, N. Sun, Z. Xu. Three Essential Issue of Enterprise Information Grid. Grid and Cooperative Computing, 2002.
    [143]Foster I, Kesselman C, Nick J M et al. The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration [EB/OL].http://www.gridforum.org/ogsi-wg/drafts/ogsa_draft2.9_2002-06-22.pdf. 2006-5-20.
    [144]Houda Lamehamedi, Zujun Shentu, Boleslaw Szymanski et al. Simulation of dynamic data replication strategies in data grids. Parallel and Distributed Processing Symposium, 2003. Proceedings. International, April 22-26, 2003, page(s): 100-109.
    [145]Buehler K, Mckee L. The OpenGIS Guide: An Introduction to Interoperable Geoprocessing and the OpenGIS Specification [M].Wayland, USA: OpenGIS Consortium Inc, 1998.
    [146]Tierney B, Aydt R, Gunter D et al. A grid monitoring architecture [EB/OL]. http://www-didc.lbl.gov/GGF-PERF /GMA-WG/papers/G WD-GP-16-3.pdf. 2006-4-24.
    [147]Tang Y, He K., Chen L. et al. A Study on Key Issues of Service-Oriented Geographic Information Integration and Oeocollaboration Environment. International Advanced Workshop on Virtual Geographic Environments and Geocollaboration VGE2003, Hong Kong, China, 2003.
    [148]Tun Lu, Zhishu Li, Chunlin Xu et al. A Formal Model for Grid Service De-ployment in Grid Service Mining Based on Installation Strategies [A]. In the 4th International Conference on Grid and Cooperative Computing (GCC2005) [C], Beijing, China Vol.3795 of Lecture Notes in Computer Science (LNCS), pp. 90-95, Springer-Verlag, November 2005.
    [149]Guocheng Pan. Extended weights of evidence modeling for the pseudo-estimation of metal grades [J]. Nonrenewable Resources, 1996, (5): 53-76.
    [150]严明疆,帕拉提·阿不都卡迪尔.证据权法在成矿预测中的应用[J].新疆地质,2003,21(4):491-492.
    [151]S. Chen, W. Zhang, and F. Ma et al, The Design of a Grid Computing System for Drug Discovery and Design, The 3rd International workshop on Grid and Cooperative Computing (GCC2004), Wuhan, 2004, pp. 799-802.
    [152]Ann Chervenak, Ian Foster, Carl Kesselman et al. The data grid: Towards architecture for the distributed management and Analysis of Large Scientific Datasets [J].Journal of Network and Computer Applications, 2001, 23:187-200.
    [153]孙健,尹晓峰,陈光伟.网格计算和信息共享[J].铁路计算机应用,2004,13(4):5-7.
    [154]武秀川,鞠九滨.计算网格的资源管理方法研究[J].计算机科学,2003,30(2):87-89.
    [155]Wolfgang Hoschek, Javier Jaen-Martinez. Data management and international data grid project. In: ACM Int'l Workshop on Grid Computing (Grid' 2000). Bangalore, India, 2000.
    [156]W. Johnson, D. Gannon, B. Nitzberg. Grids as production computing environments: The engineering aspects of NASA's information power grid, In Eighth IEEE International Symposium on High Performance Distributed Computing. IEEE, August 1999.
    [157]常印佛,刘湘培,吴言昌.长江中下游铜铁成矿带[M].北京:地质出版社,1991.
    [158]翟裕生,姚书振,林新多,等.长江中下游地区铁铜(金)成矿规律[M].北京:地质出版社,1992.
    [159]揣媛媛,肖克炎,湛邵滨,等.基于SIG的证据权法矿产资源评价及应用[J].吉林大学学报(地球科学版),2007,37(1):54-58.
    [160]陈毓川.中国主要成矿区带矿产资源远景评价[M].北京:地质出版社,1999.
    [161]杜光伟,徐开锋.藏东“三江”地区地球化学特征及其找矿意义[J].物探与化探,2001,25(6):425-431.
    [162]Yuanyuan Chuai, Keyan Xiao, Yihua Xuan et al. Research and Application of Mineral Resources Assessment by Weights of Evidence Model Based on SIG. Journal of Geoscientific Research in Northeast Asia, 2006, 9(1):109-114.