期刊文献+

基于上下文推理的指挥所业务交互研究 被引量:3

Research on Command Post Business Interaction Based on Context Reasoning
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摘要 基于指挥所操作业务的应用需求,定义适用于指挥所中人机交互的上下文信息。在选取该上下文信息的过程中,利用OWL语言完成指挥所业务上下文描述,建立交互信息上下文感知模型。运用SWRL逻辑规则对交互信息上下文进行推理,获得业务交互过程中高层上下文语义后进行自适应调整。以一个师指挥所作战指挥业务想定为例,说明计算机通过用户交互位置和上级指令上下文信息进行调整,从而满足当前用户的交互位置和交互业务。 For the application requirement of command post business, this paper defines interaction context information for human computer interaction in command space. Based on choosing the interaction context information of command post business, OWL language is used to describe the context information in command post business and the context awareness model of interaction information is built up. Semantic Web Rule Language(SWRL) rules are introduced to context reasoning on the interaction context information. So it can get richer context-semantics during the interaction in the course of operation and correspond adaptively. Through an example which is a battle scenario of division command post shows bow the computer acts adaptively according to contexts of user's location and leader's instruction.
出处 《计算机工程》 CAS CSCD 北大核心 2011年第2期69-71,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60875048)
关键词 指挥所业务 交互信息 上下文推理 SWRL规则 command post business interaction information context reasoning Semantic Web Rule Language(SWRL) rule
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参考文献9

  • 1Want R, Hopper A, Falcao V, et al. The, Active Badge Location System[J]. ACM Transactions on Information Systems, 1992, 10(1): 91-102.
  • 2Dey A K, Abowd G D, Salber D. A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Conlext-aware Applications[J]. Human-Computer Interaction, 2001, 16(2-4): 97- 166.
  • 3Griswold W G, Boyer R, Brown S W, et al. A Component Architecture for an Extensible, Highly Integrated Context-aware Computing Infrastructure[C]//Proc. of the 25th International Conference on Software Engineering. [S. l.]: IEEE Press, 2003.
  • 4索岳,史元春.SmartPlatform中觉察上下文的设计与实现[C]//第1届全国和谐人机环境联合学术大会论文集北京:[出版者不详],2005.
  • 5张桂英,周兴社,倪红波,周珊丹,苗强.老年人看护系统中常识推理的研究[J].计算机工程,2010,36(4):171-173. 被引量:2
  • 6Hong Myoung-Woo, Cho Dae-Jea. Ontology Context Model for Context-aware Learning Service in Ubiquitous Learning Environments[J]. International Journal of Computers, 2008, 3(2): 193-200.
  • 7McGuinness D L, Harmelen F V. OWL Web Ontology Language Overview[EB/OL]. (2004-02-10). http://www.w3.org/TR/2004/ REC-owl-features-20040210/.
  • 8Parsia B, Sirin E, Grau B G, et al. Cautiously Approaching SWRL[J]. Preprint Submitted to Elsevier Science[EB/OL]. (2005-04-19). http://www.mindswap.org/papers/CautiousSWRL. pdf.
  • 9种玉珍,吴晓,倪红波,王海鹏.上下文推理技术在智能家庭中的研究与应用[J].计算机工程,2009,35(13):183-185. 被引量:2

二级参考文献9

  • 1王曙宁,俞建新.基于本体的上下文感知系统[J].计算机工程,2007,33(11):42-43. 被引量:7
  • 2Weiser M.The Computer for the 21st Century[J].Science America,1991,265(3):94-104.
  • 3Wang Xiaohang,Dong Jinsong,Chin C Y,et al.Semantic Space:An Infrastructure for Smart Spaces[J].IEEE Pervasive Computing,2004,3(3):32-39.
  • 4Cook D J.MavHome:An Agent-basod Smart Home[C]//proc.of the lst Int't ConL on Pervasive Computing and Communications.[S.l.]:IEEE Press,2003.
  • 5Verzulli J.Using the Jena API to Process RDF[Z].(2001-05-23).http://www.xml.com/pub/a/2001/05/23/jena.html.
  • 6Weiser M. The Computer for the 21st Century[J]. ACM SIGMOBILE Mobile Computing and Communications Review, 1999, 3(3): 3-11.
  • 7Cook D J. MavHome: An Agent-based Smart Home[C]//Proc. of the 1st IEEE Int'l Conf. on Pervasive Computing and Communications. Fort Worth, USA: [s. n.], 2003: 521-524.
  • 8Suganuma. T. A Ubiquitous Supervisory System Based on Social Context Awareness[C]//Proc. of the 22nd International Conf. on Advanced Information Networking and Applications. Washington, USA: IEEE Computer Society, 2008: 370-377.
  • 9Guo Bin. Sixth-sense: Context Reasoning for Potential Objects Detection in Smart Sensor Rich Environment[C]//Proc. of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology. Hong Kong, China: [s. n.], 2006: 191-194.

共引文献2

同被引文献29

  • 1修佳鹏,熊燕,张雷,吴建林.基于OWL的战场本体构建方法[J].郑州大学学报(理学版),2007,39(2):136-141. 被引量:10
  • 2孙严,戴浩.基于能力的军事需求方法简介[J].科学技术与工程,2007,7(9):2170-2176. 被引量:33
  • 3乔秀全,李晓峰,廖建新.业务上下文本体建模及不确定性推理[J].高技术通讯,2007,17(6):569-574. 被引量:2
  • 4韩崇昭,朱洪艳,段战胜.多源信息融合[M].第2版.北京:清华大学出版社,2010.
  • 5吴巍.我军新一代通信网络发展设想[J].中国电子科学研究院学报,2007,2(5):445-449. 被引量:12
  • 6曹雷,等.指挥信息系统[M].北京:国防工业出版社,2012.
  • 7Anand Ranganathan,Jalal A1-Muhtadi, Roy H Campbell. Reasoning about Uncertain Contexts in Pervasive Computing Environments [ J ]. Published by the IEEE CS and IEEE ComSoc,2004, 3(2) :62-70.
  • 8Zhongli Ding, Yun Peng. A Probabilistie Extension to On- tology Language OWL[ R] .Proceedings of the 37th Hawaii International Conference on System Sciences, 2004: 111-120.
  • 9World Wide Web Consortium (W3C). Web Ontology Lan- gu-age (OWL). http: /// www. w3. org/2004/OWL: W3C, 2004.
  • 10胡博.C^4ISR系统通信业务能力需求分析与业务生成技术研究[D].南京:解放军理工大学,2013.

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