知识网格及其在农业生物灾害预警中关键技术研究
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摘要
凡事预则立,不预则废,随着全球气候变暖,种植制度的改变和全球贸易交往的增加,农业生物灾害越来越严重,有效地防止农业生物灾害首要问题是如何进行科学的预测。发展早期预警系统(风险识别、危害识别、地域识别、变异识别)是提高预防与预测准确性的首要关键科学问题;而有效地进行农业生物灾害预测和预警的前提是获取农业生物灾害的信息,然后对相关信息进行提炼加工处理成农业生物灾害知识,为农业生物灾害预警决策提供知识服务。所以在农业生物灾害预警中核心问题是农业生物灾害知识的获取,表示、组织及应用。因此,本文主要解决农业生物灾害预警中知识的获取,表示与组织,分析与应用,为农业生物灾害预警系统提供信息和知识保障。本文主要研究了知识网格的理论、方法和技术在农业生物灾害预警系统中的关键技术问题,主要的研究工作如下:
     (1)分析了知识网格的原理、方法和技术,如何运用知识网格的思想应用到农业生物灾害预警系统中,怎样利用知识网格以对农业生物灾害知识进行管理,农业生物灾害知识网格的体系结构如何构建问题。
     (2)知识网格中的核心是知识,在农业生物灾害预警中正确、有效地获取知识是农业生物灾害预警中的关键问题,文中分析了知识获取的思想、方法和技术。着重研究了不完全信息条件中知识获取的方法和算法,主要研究了不完全信息系统数据缺失的补齐问题的原理和算法,分析了一种多重插补数据补齐算法,利用粗糙集理论来解决不确定信息下的知识获取的方法,比较了不完全信息条件下容差关系、相容关系、限制容差关系知识规则的异同。
     (3)运用本体论和云理论的原理和方法,构建了农业生物灾害知识集成模型,文中分析了知识集成的思想和技术,对农业生物灾害知识本体进行了描述的分析,阐述了农业生物灾害知识本体的构建方法及其知识体系,描述了农业生物灾害知识本体的相互关系及其公理系统,同时,提出了利用云理论进行知识集成的思想。
     (4)知识网格的要解决的问题主要是知识的统一表示、资源的智能聚合和语义交互模型,根据这一思想,研究分析了农业生物灾害知识网格模型的基本原理,分析了农业生物灾害知识网格中的知识统一表示,资源空间组织模型、语义互联模型,在此基础上,构建了农业生物灾害知识网格模型。
     (5)通过对农业生物灾害知识网格模型的分析,对农业生物灾害预警系统进行了设计。分析了其设计的主要思想,功能模型和实现的方法。
Preparedness ensures success, unpreparedness spells failure.Agriculture and biology (Agri-bio) disasters are becoming more and more serious by global warming, cropping system changing and global trade association increasing. The primary issue in preventing agri-bio disasters effectively is the way of predicting scientifically. For increasing accuracy of preventing and predicting, the key scientific issue is developing early warning system(risk identification, damage identification, region identification, mutant identification). However, the prerequisite for predicting and warning scientifically is to master knowledge of agri-bio disasters and process relative information into such kind of knowledge. It can provide knowledge service for agri-bio disasters warning decision. In consequence, this paper mainly solves knowledge acquisition, representation and organization, analysis and application during agri-bio disaster warning, and it provides information and knowledge security for agri-bio disaster warning system. This paper analyzes knowledge grid's principle, method, technology and their application in agri-bio disaster warning system. Major research work as follows:
     (1)Analyzes knowledge grid's principle, method and technology. Discusses knowledge grid's application in agri-bio disasters warning system. Carries out the way of agri-bio disasters knowledge management using knowledge grid. Puts forward the issues of constructing agri-bio disasters knowledge grid's architecture.
     (2)Knowledge is the core of knowledge grid. The primary issue in agri-bio disasters warning is accessing knowledge accurately and effectively. This paper analyzes knowledge acquisition's theory, method and technology and focus on knowledge acquisition methods and algorithms under the condition of imperfect information. Major studys the incomplete information system data missing padded problem principle and algorithm and carries out a multi-interpolation algorithm. Solves knowledge acquisition methods of the uncertain information by utilizing the rough set theory. Compares similarities and differences of knowledge rules among tolerance relations, compatibility relations and limited tolerance relation under the condition of incomplete information.
     (3)Constructs knowledge integration model of agri-bio disasters by using principle and method of ontology and cloud theory. This paper analyzes knowledge integration theory and technology, carries out agri-bio disasters knowledge ontology, sets forth construction methods of agri-bio disasters knowledge ontology and its' knowledge system, describes the relationships among agri-bio disasters knowledge ontology and its'axiom system. In the meanwhile, this paper proposes knowledge integration ideas taking advantage of cloud theory.
     (4)Knowledge grid that to solve the problem is that unified representation of knowledge, resources intelligent aggregation and semantic interaction model. According to this theory, this paper analyzes the basic principles of agri-bio disasters knowledge grid model, the unified representation of knowledge in agri-bio disasters knowledge grid, the resource spatial organization model and the semantic interconnection model. On the basis of these work, this paper constructs agri-bio knowledge grid model.
     (5) This paper designs agri-bio disasters warning system according to the analysis of agri-bio disasters knowledge grid model. This paper analyzes the main ideas of its design, functional models and implementation methods.
引文
[1]成卓敏.农业生物灾害预防与控制[M].北京:中国农业科技出版社,2005
    [2]高庆华,马宗晋,张业成,等.自然灾害评估[M].北京:气象出版社,2007
    [3]廖斌.我国农业生物灾害应急管理现状、存在问题及解决对策
    [4]夏敬源.我国重大农业生物灾害暴发现状与防控成效[J].中国植保导刊,2008,28(1):5-9
    [5]Berners-Lee.T,Hendler.J,Lassila.O.The Semantic Web.Scientific American, 2001,28(4):34-43
    [6]Berman F.Viewpoint:from teragrid to knowledge grid[J].Communications of the ACM.2001.44(11):27-28
    [7]Cannataro M,Talia D.Knowledge grid:An architecture for distributed knowledge discovery[J].Communications of the ACM,2003,46(1):89-93
    [8]M Cannataro, D Talia, P Trunfio. Distributed data mining on the grid. Future Generation Computer Systems,2002(18):1101-1112
    [9]M Cannataro,D Talia, P Trunfio.Distributed Data Mining on Grids:Services, Tools,and Applications.IEEE Transactions on Systems, Man and Cybernetics, 2004,34(6):2451-2465
    [10]M Cannataro, D Talia. Semantic and Knowledge Grids:Building the Next-Generation Grid.IEEE Intelligent Systems,2004,19 (1):56-63
    [11]H Zhuge. A knowledge grid model and platform for global knowledge sharing. Systems with Applications,2002,22(4):313-320
    [12]Hai Zhuge.Active e-document framework ADF:model and tool.Information & Management,2003 (41):87-97
    [13]Hai Zhuge.China's e-science knowledge grid environment.IEEE Intelligent Systems,2004,19(1):13-17
    [14]Zhuge Hai.Exploring Flows in the intelligent agent grid environment.In: T.Ishida,L.Gasser,and H. Nakashima (Eds.):MMAS2004,LNA13446,2004. 13-24
    [15]Hai Zhuge,Yanyan Li. Semantic profile-based document logistics for cooperative research.Future Generation Computer Systems,2004 (20):47-60
    [16]Hai Zhuge,Xiang-Feng Luo.Knowledge map mathematical model and dynamic behaviors Journal of Computer Science & Technology,2005,20(3): 289-295
    [17]Hai Zhuge.Soft-device inheritance in the knowledge grid.In:Ⅴ.Gorodetsky,J. Liu,and V.A.Skormin(Eds.):AIS-ADM2005,LNAI3505,2005.62-78
    [18]H. Zhuge and X. Li,Peer-to-Peer in Metric Space and Semantic Space,IEEE Transactions on Knowledge and Data Engineering,2007,6(19):759-771
    [19]Jin Liu, X. Li, and L. Feng, Resource space view tour mechanism, Concurrency and Computation:Practice and Experience,2008,20(7):863-883
    [20]Hai Zhuge. The Knowledge Grid. World Scientifc,2004
    [21]H.Zhuge. Semantics, Resource and Grid. Future Generation Computer Systems; 2004,20(1):1-5
    [22]WU Zhaohui, CHEN Huajun, XU Jiefeng. Knowledge base grid:a generic architecture for semantic web. Journal of Computer science & Technology, 2003,18(4):462-473
    [23]Huajun Chen, Zhaohui Wu, Fiefeng Xu. KB-Grid:towards building large-scale knowledge system in semantic web. In:Ⅴ. Palade, R.J. Howlett, and L.C. Jain (Eds.):KES 2003, LNAI 2774,2003.1381-1388
    [24]Qi Gao, HuaJun Chen, ZhaoHui Wu, and WeiMing Lin Semantic Rule service model:enabling intelligence on grid architecture. In:M. Li et al. (Eds.):GCC 2003,3033,2003.727-735
    [25]Yuxin Mao, Zhaohui Wu, and Huajun Chen. SKyEyes:a semantic browser for the KB-Grid.In:M.Li et al. (Eds.):Grid and Cooperatve Computing 2003, LNCS 3033,2003.752-759
    [26]Huajun Chen, Zhaohui Wu, Chang Huang, and Jiefeng Xu. TCM-Grid: weaving a medical grid for traditional Chinese medicine. In:P.M.A. Sloot et al. (Eds.).TCCS 2003, L1VCS 2659 2003.1143-1152
    [27]http://www.knowledgegrid.net
    [28]储节旺,周绍森,郭春侠.知识网格:知识管理变革的动力[J].科研管理,2006,27(3):56-60
    [29]漆贤军.基于知识网格的知识管理与服务[J].科技情报开发与经济,2007,17(28):179-180
    [30]镇璐,蒋祖华.基于知识网格的知识供应模型[J].上海交通大学学报,2007,41(1):45-60
    [31]韩永国.知识网格及其教育应用的关键技术研究[D].电子科技大学博士学位论文,2006
    [32]刘平峰.基于知识网格的电子商务智能推荐理论方法研究[D].武汉理工大学博士学位论文,2006
    [33]王文生,谢能付,胡同福,等.网格技术在农业中应用前景分析[J].农业信息网络,2007,(7):4-7
    [34]王文生,谢能付.农业网格技术研究与应用[M].北京:科学出版社,2009
    [35]赵春江.农业智能系统[M].北京:科学出版社,2008
    [36]崔运鹏.基于本体论的农业知识管理关键技术研究[M].北京:中国农业科技出版社,2009
    [37]李宝林,黄复九.农业生物灾害生态控制的宏观分析和灰色系统预测预报原理[J].西北大学学报,1993,23(3):232-235
    [38]夏敬源.我国重大农业生物灾害暴发现状与防控成效[J].中国植保导刊,2008,(1):5-9
    [39]翟保平.当前生物灾变预测中的问题与对策[J].南京农业大学学报,2001,24(4):41-45
    [40]罗菊花,黄文江,韦朝领,等.基于GIS的农作物病虫害预警系统的初步建立[J].农业工程学报,2008,24(12):127-131
    [41]吴小芳,包世秦,胡月明,等.多因子空间插值模型在农作物病虫害监测预警系统中的构建及应用[J].农业工程学报,2007,23(10):162-166
    [42]周强,张润杰.基于WebGIS的稻飞虱灾害预警系统初步研究[J].中山大学学报,2004,43(1):67-69
    [43]王明红,金晓华,刘芊,等.北京市农作物重大病虫害预警信息系统构建及其应用[J].中国植保导刊.2006,7(26):5-10
    [44]罗清文,蒋耀培,吕镇梅,等.上海水稻主要病虫害灾变预警系统的研究与应用[J].农业信息网络,2008,(12):7-10
    [45]司丽丽,曹克强,刘佳鹏,等.基于地理信息系统的全国主要粮食作物病虫害实时监测预警系统的研制[J].植物保护学报,2006,33(3):282-286
    [46]都志辉;陈渝,刘鹏.网格计算[M].北京:清华大学出版社,2002,14-37
    [47]Francine,Geoffrey C.Fox,Tony Hey.网格计算:支持全球化资源共享与协作的关键技术.都志辉等译.华中科技大学出版社,2005
    [48]Ian Foster,Carl Kesselman.The Grid:Blueprint for a New Computing Infrastructure(2nd Edition)[M].San Francisco:Moran Kanfmann Publishers,Inc, 2004
    [49]胡春明,怀进鹏,孙海龙.基于Web服务的网格体系结构及其支撑环境研究[J].软件学报,2004,(07):1064-1073
    [50]王大震,王淑静等.数据网格中的数据管理服务框架分析.计算机工程与设计,2004,25(1):29-32
    [51]M Cannataro,D Talia.Knowledge Grid:An architechture for distributed knowledge discovery [J].Communications of the ACM,2003,46(1):89-93
    [52]H Zhuge.China's E-Science Knowledge Gird Environment[J].IEEE Intelligent System,2004,19(1):13-17
    [53]马文峰,杜小勇.知识网格研究[J].图书情报工作,2007,51(10):64-67,135
    [54]刘毅志,刘建勋.知识网格研究[J].湘潭师范学院学报(自然科学版),2006,(6):13-16
    [55]诸葛海.知识网格.http://www.ict.ac.cn/jcst/downloads/xsqy/qy301.pdf, 2005-10-10
    [56]刘洁,郑丽萍,郭韦钰,等.中国织女星知识网格研究进展[J].计算机研究与发展,2003,(12):1672-1676
    [57]I Foster,C Kesselman,J M nick,S Tuecke. The Physiology of the Grid:An Open Grid Services Architecture for Distributed Systems Integration. http://www.globus.org/alliance/publications/papers/ogsa.pdf
    [58]OGSA结构描述,http://www.Globus.org/ogsa/
    [59]OGSA规范.http://forge.gridforum.org/projects/ogsa-wg
    [60]David De Roure, Mark A. Baker, Nicholas R. Jennings, Nigel R. Shadbol. The Evolution of the Grid. http://www.semanticgrid.org/documents/evolu} ion/evolution.pdf
    [61]OASIS Web Services Resource Framework (WSRF) TC, http://www. oasisopen.org/committees/tc_home.php?wg_abbrev=wsrf
    [62]WS-Resource Framework http://www.globus.org/wsrf/
    [63]Atkinson M, DeRoure D, Dunlop A, et al. Web Service Grids:An Evolutionary Approach. Concurrency and Computation:Practice and Experience, John Wiley,2005,17(2-4):377-389
    [64]陈志良,减珠萍,朱明.知识网格中基于WSRF标准的分布式知识的发现.广西师范大学学报:自然科学版,2007,25(4):294-297
    [65]H. Zhuge, The Knowledge Grid and Its Methodology,1st International Conference on Semantics, Knowledge and Grid, Nov 27-29,2005, Beijing, China
    [66]H. Zhuge, Semantic Grid:Scientific Issues, Infrastructure, and Methodology, Communications of the ACM.2005,48(4):117-119
    [67]李进华.知识网格及其在E-Science中的应用研究-Ⅰ-知识网格的原理[J]情报科学,2007,(4):571-574
    [68]M. Cannataro and P. Veltri, MS-Analyzer:preprocessing and data mining services for proteomics applications on the Grid, Concurrency and Computation:Practice and Experience,2007,19(15)
    [69]李东,赵捧未,任志纯.基于网格的军队知识管理框架模型[J].情报杂志2005,(11):48-49
    [70]时鹏,刘洁.知识网格,管理共享知识资源[J].中国计算机用户,2004,(3):53-54
    [71]朱承,刘忠,张维明,等.基于信息服务社区的网格资源发现方法[J].计算机科学,2005,31(12):10-14
    [72]Czajkowskiy K, Fitzgeraldz S,Foster I. Grid Information Services for Distributed Resource Sharing. In:Proc. of HPDC-10, IEEE press,2001
    [73]H Zhuge. Distributed team knowledge management by incorporat- ing knowledge flow end knowledge grid. The 2nd lnt' 1 Conf on Knowledge Management, Graz, Austria 2002
    [74]Cannataro M, Talia D. Semantic and knowledge grids:building the next generation grid[J].IEEE Intelligent Systems,2004,19(1):56-63
    [75]李玉华,卢正鼎.通用知识网格下以用户为中心的数据挖掘本体研究[J].计算机科学,2006,33(2):216-219,245
    [76]薛春芳,张劲松.网格环境下虚拟企业知识管理系统框架研究[J].情报杂志,2006,(4):57-60
    [77]吴华瑞,孙想,赵春江,等.农业数据网格体系研究[J].农业工程学报,2006,22(11):183-186
    [78]Howard, R. The Virtual Community:Homesteading on the Electronic Frontier. MIT:Addison Wesley,1993
    [79]Koh J,Kim Y G. Knowledge Sharing in Virtual Communities:an E-Business Perspective[J].Expert Systems With Applications,2004,26:155-166
    [80]胡运发.数据与知识工程导论[M].北京:清华大学出版社,2003
    [81]陆汝铃.世纪之交的知识工程与知识科学[M].北京:清华大学出版社,2001
    [82]Polanyi, M. The Tacit Dimension, Doubleday, Glouester, MA,1966
    [83]Nonata&Takeuchi[Nonaka, lkujiro.&Takeuchi, Hirotaka.The Knowledge creating Company Oxford University Press,1995
    [84]Gameron Philip, Knowledge-sharing for Global Development Encouraging Knowledge sharing for cleaner global development [J]. Knowledge management review,2001,(3-4):30-33
    [85]王众托.知识系统工程:知识管理的新学科[J].大连理工大学学报,2000,40(S1):115-122
    [86]ZHANG C,CAO L. Domain-Driven Data Mining:Methodologies and Applications[C] .LI Y F;LOOI M;ZHONG N. Advances in Intelligent IT-Active Media Technology2006. IOS Press,2006,:13-16
    [87]冯林,罗芬,宋薇薇,等.粗糙环境下分布式知识获取方法研究[J].计算机应用.2005,25(S1):276-277,279
    [88]王燕,申元霞,陶春梅.面向领域的数据驱动自主式知识获取模型及实现[J].重庆邮电大学(自然科学版),2009,21(4):502-506
    [89]史忠植.知识发现[M].北京:清华大学出版社,2002
    [90]马捷,靖继鹏.论虚拟现实技术在企业专家隐性知识获取中的作用[J].图书情报工作,2006,(10):92-96
    [91]Woo Jeong-han,Clayton Mark J,Johnson Robert E. Dynamicknowledge map:Reusing expert's tacit knowledge in the AEC in-dustry[J].Automation in Construction,2004,13 (10):203-207
    [92]GU H Z,ZHOU K J. Text Classification Based on Domain Ontology[J]. Journal of Communication and Computer,2006,3 (5):29-32
    [93]Pawlak,Z.Rough Sets[J].International Journal of Information and Computer Science,1982,11(5):341-356
    [94]Yao Y. Y. A comparative study of fuzzy sets and rough sets, INFORMATION SCIENCES,1998,109 (1-4),227-242
    [95]菅利荣.面向不确定性决策的杂合粗糙集方法及其应用[M].北京:科学出版社,2008,3
    [96]王彪,段禅伦,吴昊,等.粗糙集与模糊集的研究与应用[M].北京:电子工业出版社,2008,3
    [97]Slowinski R.Rough set approach to decision analysis.AI Expert,March, 1995,19-21
    [98]陆晓希,黄力.基于粗糙集理论及其在农业病害规则发现中的应用[J].安徽农业科学,2006,34(14):3251-3252,3254
    [99]郭红波,周明全,耿国华,等.粗糙集理论分析及其在农业数据中的应用[J].计算机技术与发展,2007,17(10):165-167
    [100]胡明礼.不完全信息下基于粗糙集的决策分析方法[D],南京航天航空大学博士学位论文,2006
    [101]张文修,仇国芳.基于粗糙集的不确定决策[M].北京:清华大学出版社,2005
    [102]王国胤Rough集理论在不完备信息系统中的扩充.计算机研究与发展.200239(10):1238-1243.
    [103]Guarino, N. and Giaretta, Ontologies and Knowledge Bases:Towards a-Terminological Clarification. In N. Mars (ed.)Towards Very Large Knowledge Bases:Knowledge Building and Knowledge Sharing 1995. IOS Press, Amsterdam:25-32
    [104]Kryszkiewicz M. Rough set approach to incomplete information systems. Information Sciences.1998,112:39-49
    [105]Kryszkiewicz M. Rules in incomplete information system Information Sciences,1999,113:271-292
    [106]J. Stefanowski. On rough set based approachs to induction of decision rules. In L. Polkowski and A. Skowron, editors, Rough Sets in Knowledge Discovery, pages 500-529. Physica-Verlag, Heidelberg,1998
    [107]胡旺,冯伟森,李志蜀,韦力凡.基于粗糙集理论不完备信息系统的数据挖掘[J].四川大学学报(自然科学版),2004,41(4):745-748
    [108]梁霞.缺失数据的多重插补及其改进[D].中南大学硕士论文,2007
    [109]RJA Little, DB Rubin. Statistics Analysis with missing Data. New York:John Wiley&Sons;1987
    [110]Mike Uschold. Knowledge level modeling:concepts and terminology. The Knowledge Engineering Review, Vol.13:1,1998,5-29
    [111]Uschold.M. Building Ontologies:Towards a Unified methodology.AI Technical reports, Univ, Of Edinburgh, United Kingdom,1997:31-33
    [112]R.Neches, R.E.Fikes, T.Finin, T.R.Gruber, T.Senator, and W.R.Swartout. Enabling Technology for Knowledge Sharing; AI magazine; 1991, 12(3):36-56,
    [113]T.R.Gruber.A Transtation Approach to Portable Ontologies. Knowledge Acquisition; 1993,5(2):199-220
    [114]P.Borst, H.Akkermans, and J.Top. Engineering Ontlogy. International Journal of Human-Computer Studies,1997,(46):365-406
    [115]R.Studer, U.R. Benjamins, and D.Fensel; Knowledge Engineering, Principles and Methods. Data and Knowledge Engineering,25(1-2):161-197,1998
    [116]Uschold M,Gruninger M. Ontologies:Principler,methods and applications. The Knowledge Engineering Review,1996,11(2):93-155
    [117]Heijst G Schreiber A,Wielinga J. Using explicit ontalogies in KBS development.Human and Computer Studies,1997,46(2/3):183-292
    [118]Perez A G, Benjamins V R. Overview of Knowledge Sharing and Reuse Components:Ontologies and Problem-Solving Methods. In:Stockholm V R,Benjamins B, Chandrasekaran A, eds. Proceedings of the IJCA1999 workshop onOntologies and Problem-Solving Methods (KRR5) 1999,1-15
    [119]郭永洪.基于本体的鱼病知识获取与诊断推理集成研究[D].中国农业大学博士学位论文,2004
    [120]李景.本体理论及在农业文献检索系统中的应用研究以花卉学本体建模为例[D].中国科学院研究生院博士学位论文,2004
    [121]Grant R M. Prospering in dynamically-competitive environment: organizational capability as knowledge integration. Organization Science, 1996,7(4):375-387
    [122]王娟茹,赵嵩正,杨瑾.面向项目管理的知识集成模型和机制[[J].科学学与科学技术管理,2004,25(1):81-84
    [123]马彪.国外知识集成研究综述[J].情报理论研究与实践,2007,30(1):139-144
    [124]顾新建,祁国宁.知识集成初探[J].计算机集成制造系统,2000,1(6):8-13
    [125]Enrico Motta. Trends in Knowledge Modeling:Report on the 7th KEML Workshop.The Knowledge Engineering Review,1997,12(2):209-217
    [126]张磊,王金栋,谢强,等.基于ontology的企业知识集成研究[J].武汉大学工学版,2005,38(4):84-87
    [127]王娟茹,赵嵩正,杨瑾.知识集成模式研究[J].工业工程,2004,7(6):26-29
    [128]杨学明,刘柏嵩.基于本体的Web知识集成研究[J].情报杂志,2006,(5):63-65
    [129]李超,王兰成.应用领域本体的Web信息知识集成研究[J].情报科学,2007,25(3):430-434
    [130]谢能付,王文生.农业知识本体的构建方法[J].农业信息网络,2007,(8):12-16
    [131]凌玲.基于本体论的知识集成方法的研究[D].华中科技大学博士学位论文,2006
    [132]李跃龙.基于本体的消防知识集成研究[D].大连海事大学硕士论文,2008
    [133]李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究和发展,1995:32(6):16-21.
    [134]刘常昱,李德毅,潘莉莉.基于云模型的不确定性知识表示[J].计算机应工程与应用,2004,2:32-35
    [135]邸凯昌.空间数据挖掘与知识发现[M].武汉:武汉大学出版社,2001
    [136]李德毅,刘常昱.论正态云模型的普适性[J].中国工程科学,2004,6(8):28-34
    [137]刘洁,郑丽萍.中国织女星知识网格研究进展[J].计算机研究与发展,2003,40(12):167-176
    [138]徐杰峰.知识库网格模型的研究[D].浙江大学硕士论文,2004
    [139]H.Zhuge,L.Ding,X.Li,Networking scientific resources in the Knowledge Grid environment, Concurrency and Computation:Practice and Experience, 2007,7(19):1087-1113
    [140]Alun Preece, Kit Hui, Alex Gray, Philippe Marti. Designing for scalability in a knowledge fusion system. Knowledge-Based Systems,2001(14):173-179
    [141]Richard Scherl and Dana L. Ulery. Technologies for Army Knowledge Fusion. Army Research Laboratory Technical Report, ARL-TR-3279, [EB/OL].http://bluehawk.monmouth.edu/-rscherl/Research.htm/2006.3
    [142]H.Zhuge.Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning, IEEE Transactions on Knowledge and Data Engineering,2009,21(6):785-799
    [143]H.Zhuge, K. Yuan, J. Liu, J. Zhang and X. Wang, Modeling Language and Tools for the Semantic Link Network, Concurrency and Computation: Practice and Experience,2008,20(7):885-902
    [144]H.Zhuge and X.Luo, Automatic Generation of Semantics for Documents in the Knowledge Grid, Journal of Systems and Software,2006,(79):969-983
    [145]H.Zhuge and R.Jia, et. al., Semantic Link Network Builder and Intelligent Browser, Concurrency and Computation:Practice and Experience,2004,16 (14):1453-1476
    [146]Alexander Maedche, Steffen Staab.Measuring Similarity between Ontologies. Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web.2002 1(24):251-263
    [147]Bisson, G.Learning in FOL with a similarity measure.In Proc. of AAAI, 1992:82-87
    [148]Dieng, R. and Hug, S. Comparison of personal ontologies repre sented through conceptual graphs. In Proceedings of ECAI,1998:341-345
    [149]Weinstein, P.,Birmingham, W. Comparing concepts in differentiated ontologies. In Proc. of KAW-99,1999
    [150]吴健,昊朝晖,李莹.基于本体论和词汇语义相似度的Web服务发现.计算机学报,2005,1(4):595-562
    [151]Weinstein, P.,Birmingham, W. Comparing concepts in differentiated ontologies.In 12th Workshop on Knowledge Acquisition, Modeling, and Management.Banff, Canada.1999
    [152]刘群,李素建.基于《知网》的词汇语义相似度计算.第三届汉语词汇语义学研讨会,台北,2002,5
    [153]王刚.基于本体的服务模型及方法研究[D].西南大学博士学位论文,2008
    [154]严霞,张禄祥.农业信息服务与农业知识服务的比较研究[J].广东农业科学,2008,(11):135-138
    [155]李进华.网格知识管理研究[D].武汉大学硕士论文,2005
    [156]冯勇,徐红艳,赵淼.一种面向知识型组织的岗位知识推送系统构建框架[J].辽宁大学学报(自然科学版),2006,33(3):269-272
    [157]张宇光,黄永跃,唐丽.知识网格环境下的个性化信息服务[J].现代情报,2008,(5):85-86

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