语义驱动下的网络资源符号设计方法
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  • 英文篇名:Design Method of Semantic-driven Cyberspace Resource Symbol
  • 作者:张龙 ; 周杨 ; 田江鹏 ; 赵海鹏
  • 英文作者:ZHANG Long;ZHOU Yang;TIAN Jiang-peng;ZHAO Hai-peng;Institute of Geography Spatial Information,Information Engineering University;
  • 关键词:网络空间资源 ; 语义驱动 ; 语义模型 ; 符号设计 ; 认知实验
  • 英文关键词:Cyberspace resource;;Semantic-driven;;Semantic model;;Symbol design;;Cognitive experiment
  • 中文刊名:JSJA
  • 英文刊名:Computer Science
  • 机构:信息工程大学地理信息空间学院;
  • 出版日期:2019-04-15
  • 出版单位:计算机科学
  • 年:2019
  • 期:v.46
  • 基金:国家重点研发计划项目(2016YFB0801301,2016YFB0801303)资助
  • 语种:中文;
  • 页:JSJA201904013
  • 页数:6
  • CN:04
  • ISSN:50-1075/TP
  • 分类号:89-94
摘要
网络空间资源是认知网络空间的基本单元。系统化和结构化的网络资源符号体系可为正确认知和理解网络空间态势,快速共享和辨识网络态势标绘,客观把握和了解网络资源分布情况、所处状态和归属关系提供至关重要的帮助。为此,文中参考语义驱动下的地图符号设计方法,将自然语义学理论引入网络资源符号设计过程中,提出了一种语义驱动的网络资源符号设计方法。首先,分析和梳理了网络资源的构成,给出了网络资源符号结构和符号语义模型;其次,具体阐述了网络资源符号设计流程与方法;最后,进行了网络资源符号认知实验,并与美军网络态势标号进行了对比评价。实验结果表明,文中所设计的网络资源符号具有形象化和系统化的特点。
        Cyberspace resource is the basic unit of cognitive cyberspace.Systematic and structured symbol system of network resources is significant for correctly understanding the cyberspace situation,rapidly sharing and identifying cyberspace situation mapping and objectively grasping the distribution,state and attribution of cyberspace resources.Therefore,referring to the design method of semantic-driven mapping symbol,this paper introduced natural semantics theory into the process of symbol design of cyberspace resources,and proposed a design method of semantic-driven symbol cyberspace resources.Firstly,the paper analyzed and sorted out the cyberspace resource structure,and proposed the cyberspace resource symbol structure and symbolic semantic model.Then,it elaborated the symbolic design process and the method of cyberspace resources.Finally,it conducted the cyberspace resource symbolic cognition experiment and comparison analysis with the US military cyberspace symbol.The experimental results show that the symbol of cyberspace resources designed by this method has the characteristics of visualization and systematization.
引文
[1] ZHOU Y,XU Q,LUO X Y,et al.Research on the Definition and Technological System of Cyberspace Surveying and Mapping[J].Computer Science,2018,45(5):1-7.(in Chinese)周杨,徐青,罗向阳,等.网络空间测绘的概念及其技术体系的研究[J].计算机科学,2018,45(5):1-7.
    [2] ZHAO F,LUO X Y,LIU F L.Research on cyberspace sur- veying and mapping technology[J].Chinese Journal of Network and Information Security,2016,2(9):1-11.(in Chinese)赵帆,罗向阳,刘粉林.网络空间测绘技术研究[J].网络与信息安全学报,2016,2(9):1-11.
    [3] GAO J.Let’s Take Another Look at Map[J].Bulletin of Surveying and Mapping,2009,2009(1):1-5.(in Chinese)高俊.换一个视角看地图[J].测绘通报,2009,2009(1):1-5.
    [4] JIAO D,ZHANG H T,LV G N,et al.Coupling of map symbol web service and web map service[J].Journal of Image and Graphic,2013,18(9):1190-1196.(in Chinese)焦东来,张海涛,闾国年,等.地图符号服务与地图服务的耦合[J].中国图象图形报,2013,18(9):1190-1196.
    [5] MIL-STD-2525D.Joint military symbology[S].
    [6] NOEL S,JACOBS M,KALAPA P,et al.Multiple Coordinated Views for Network Attack Graphs[C]// Visualization for Computer Security.IEEE,2008:99-106.
    [7] SENEKAL F P,VORSTER J S.Network mapping and usage determination[C]//Military Information and Communications Symposium of South Africa (MICSSA).CSIR Conference Centre,Pretoria,South Africa,2007.
    [8] FEREBEE D,DASGUPTA D,SCHMIDT M,et al.Security visualization:Cyber security storm map and event correlation[C]//Computational Intelligence in Cyber Security.IEEE,2011:171-178.
    [9] BECKER R,EICK S,WILK A.Visualizing network data[J].IEEE Transactions on Visualization and Computer Graphics,2006,12(5):693-700.
    [10] MANSMAN F,MEIER L,KEIM D A.Visualization of Host Behavior for Network Security[M]//Goodall JR,Conti G,Ma KL,eds.VizSEC 2007.Springer,Berlin,Heidelberg,2008:187-202.
    [11] CANDELA M,BARTOLOMEO M D,BATTISTA G D,et al.Radian:Visual Exploration of Traceroutes[J].IEEE Transactions on Visualization & Computer Graphics,2017,PP(99):1.
    [12] JIANG H,LIU Y,MATTHEWS J N.IP geolocation estimation using neural networks with stable landmarks[C]//Computer Communications Workshops.IEEE,2016:170-175.
    [13] DU Q Y.The Linguistic Features of Spatial Information and Its Mechanism of Automatic Understanding[D].Wuhan:Wuhan University,2001.(in Chinese)杜清运.空间信息的语言学特征及其自动理解机制研究[D].武汉:武汉大学,2001.
    [14] TIAN J P.Research on Design and Expression of 3D Symbology Based on Linguisitics[D].Zhengzhou:PLA Information Engineering University,2012.(in Chinese)田江鹏.基于语言学的三维符号设计与表达研究[D].郑州:解放军信息工程大学,2012.
    [15] TIAN J P,JIA F L,XIA Q,et al.Design Method of the Semantic-driven Hierarchical Map Symboles[J].Journal of Geo-Information Science,2012,14(6):736-743.(in Chinese)田江鹏,贾奋励,夏青,等.语义驱动的层次化地图符号设计方法[J].地球信息科学学报,2012,14(6):736-743.
    [16] TIAN J P,YOU X,JIA F L,et al.Cognitive Semantic Analysis and Dynamic Generation of Cartographic Symbols[J].Acta Geodaetica et Cartographica Sinica,2017,46(7),928-938.(in Chinese)田江鹏,游雄,贾奋励,等.地图符号的认知语义分析与动态生成[J].测绘学报,2017,46(7):928-938.
    [17] LI W,CHEN Y F,QIAN L T,et al.Personalized Map Symbol Design Merchanism Based on Linguistics[J].Acta Geodaetica et Cartographica Sinica,2015,44(3):323-329.(in Chinese)李伟,陈毓芬,钱凌韬,等.语言学的个性化地图符号设计[J].测绘学报,2015,44(3):323-329.
    [18] HAN S,LIANG D D.WU X.Automatic Matching of Tourism Resource Thematic Symbols Based on Semantic[J].Science of Surveying and Mapping,2016,41(5):143-146.(in Chinese)韩爽,梁栋栋,吴旭.旅游资源专题语义符号自动匹配[J].测绘学报,2016,41(5):143-146.

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