基于本体的战场多源信息整合技术研究
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- 英文论文题名：Research on Multi-Information Integration Technology Based on Ontology
- 论文作者：刘俊 ; 李亚辉 ; 王立林 ; 孟伟秀
- 英文论文作者：LIU Jun ; LI Ya-hui ; WANG Li-lin ; MENG Wei-xiu ; Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory ; Hangzhou Dianzi University
- 年：2017
- 作者机构：杭州电子科技大学通信信息传输与融合技术国防重点学科实验室;
- 论文关键词：信息整合 ; RDB2RDF ; 网页信息抽取 ; 语义标注
- 英文论文关键词：Information Integration ; RDB2RDF ; Web Information Extraction ; Semantic Annotation
- 会议召开时间：2017-07-03
- 会议录名称：第五届中国指挥控制大会论文集
- 语种：中文
- 分类号：TP391.1
- 学会代码：ZHKZ
- 会议名称：第五届中国指挥控制大会
- 会议地点：中国北京
- 主办单位：中国指挥与控制学会
- 学会名称：中国指挥与控制学会
- 页数：6
- 文件大小：1546k
- 原文格式：D
- 会议级别：全国
摘要
目前各军种之间由于作战对象、作战背景通信方式的不同,使各军种的作战指挥系统信息存储之间普遍存在"信息烟囱"现象。为了实现一体化联合作战目标,本文设计了一种面向联合作战的多源信息整合总体方案。首先,提出一种基于语义网和本体技术的联合战场本体模型构建方法;其次,分别提出了将结构化、半结构化和非结构化信息转换为RDF的方法;最后,利用基于Word Net的本体对准方法,将不同数据源本体与联合战场信息领域本体进行对准。
Due to the different modes of communication between the combatants and the combat background, at present, there is the "information chimney" phenomenon between the service types of the combat command system information storage. In order to achieve the goal of integrated joint operations, the paper designs a multi-source information integration scheme for joint operations. Firstly, a method of constructing battlefield ontology model based on semantic network and ontology technology is proposed. Then, the paper introduces the method of transforming structured, semi-structured and unstructured information into RDF respectively. Finally, the quasi-method aligns the different data source ontologies with the joint battlefield information domain ontology.
Due to the different modes of communication between the combatants and the combat background, at present, there is the "information chimney" phenomenon between the service types of the combat command system information storage. In order to achieve the goal of integrated joint operations, the paper designs a multi-source information integration scheme for joint operations. Firstly, a method of constructing battlefield ontology model based on semantic network and ontology technology is proposed. Then, the paper introduces the method of transforming structured, semi-structured and unstructured information into RDF respectively. Finally, the quasi-method aligns the different data source ontologies with the joint battlefield information domain ontology.
引文
[1]李亢,李新明,刘东.多源异构装备数据集成研究综述[J].中国电子科学研究院学报,2015,10(2):162-168.
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[11]Han X,Li X D,Zheng Q.Research on Web information extraction based on spider algorithm and DOM thinking[C].International Conference on Information NETWORKING and Automation.IEEE,2010:182-185.
[12]陈涛,张永娟,陈恒.Web数据到RDF数据的框架实现[J].现代图书情报技术,2015,31(2):1-6.
[13]吴鸿汉,瞿裕忠,李慧颖.基于RDF句子的语义网文档搜索[J].计算机研究与发展,2010,47(2):255-263.
[14]傅柱.语义标注研究综述[J].图书馆学研究,2016(4):10-17.
[2]Gomezcabrero D,Abugessaisa I,Maier D,et al.Data integration in the era of omics:current and future challenges[J].BMC Systems Biology,2014,8(2):673-680.
[3]Dugas M,Meidt A,Neuhaus P,et al.ODMedit:uniform semantic annotation for data integration in medicine based on a public metadata repository[J].Bmc Medical Research Methodology,2016,16(1):1-9.
[4]Amanqui F K M,Verborgh R,Mannens E,et al.Using Spatiotemporal Information to Integrate Heterogeneous Biodiversity Semantic Data[C].International Conference on Web Engineering.2016:45-53.
[5]Gruninger M,Fox M S,Gruninger M.Methodology for the Design and Evaluation of Ontologies[J].Workshop on Basic Ontological Issues in Knowledge Sharing,2010:265-273.
[6]杜文华.本体构建方法比较研究[J].情报杂志,2005,24(10):24-25.
[7]林春梅,金鑫,何跃.基于RDF构建语义化本体模型[J].计算机应用与软件,2002,19(6):32-34.
[8]夏翠娟.RDB2RDF标准及应用研究[J].现代图书情报技术,2013(4):10-17.
[9]Souripriya Das O.R2RML:RDB to RDF Mapping Language[EB/OL].http://www.w3.org/TR/r2rml/.
[10]Medeiros L F D,Priyatna F,Corcho O.MIRROR:Automatic R2RML Mapping Generation from Relational Databases[M].Engineering the Web in the Big Data Era.Springer International Publishing,2015:326-343.
[11]Han X,Li X D,Zheng Q.Research on Web information extraction based on spider algorithm and DOM thinking[C].International Conference on Information NETWORKING and Automation.IEEE,2010:182-185.
[12]陈涛,张永娟,陈恒.Web数据到RDF数据的框架实现[J].现代图书情报技术,2015,31(2):1-6.
[13]吴鸿汉,瞿裕忠,李慧颖.基于RDF句子的语义网文档搜索[J].计算机研究与发展,2010,47(2):255-263.
[14]傅柱.语义标注研究综述[J].图书馆学研究,2016(4):10-17.