首页> 外文会议>Air Traffic Control Association Annual Conference; 20081102-05; Washington, DC(US) >LEVERAGING SEMANTIC DATA SERVICES FOR MEDIATION, DATA FUSION AND SECURITY TO ENHANCE NET-CENTRIC OPERATIONS
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LEVERAGING SEMANTIC DATA SERVICES FOR MEDIATION, DATA FUSION AND SECURITY TO ENHANCE NET-CENTRIC OPERATIONS

机译:利用语义数据服务进行调解,数据融合和安全性,以增强网络中心操作

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The proposed Next Generation Air Transportation System (NextGen) will dramatically improve our nation's ability to respond to change, reduce costs and accelerate the development and delivery of network-centric Air Traffic Management (ATM) capabilities for the National Airspace System (NAS). This paper presents an overall methodology for the efficient, effective and repeatable application of Semantic Data Services (SDS) to address the fundamental data problems exposed by Service Oriented Architecture (SOA) implementations. The SDS framework presented in this paper takes advantage of new/emerging semantic technologies and standards for data enrichment, mediation. representation, fusion, access, visualization and security. The primary differentiators are the methods and processes used to extend the traditional SOA data layer through the pragmatic application of semantic technology. The SDS framework and supporting methodology presented herein addresses the inherent challenges of the "data problem", setting the stage for "realistic" SOA manifestations of the Department of Defense's (DoD's) Net-Centric Data Strategy that maximizes the decoupling of mission-critical data from the user interfaces and software applications, and operationalizes the data in terms of a shared, interoperable vocabulary across ATM Communities of Interest (COI). The SDS framework leverages ontologies to serve as the basis for model-driven data integration, enrichment and fusion, adding cohesion and value to the fundamental enterprise information fabric. For example, semantic representations of data models such as the National Information Exchange Model (NIEM), Maritime Information Exchange Model (MIEM), the Universal Core and the Joint Consultation Command and Control Information Exchange Data Model (JC3IEDM) serve as pluggable data fusion ontologies. Each deployed instance of SDS can serve as reusable infrastructure for a variety of services and applications that are beneficial to a COI and the broader NextGen SOA ecosystem. The abstraction provided by SDS adds substantial power for reasoning and correlating information in an automated fashion.
机译:拟议中的下一代航空运输系统(NextGen)将大大提高我们国家应对变化的能力,降低成本,并加快为国家空域系统(NAS)提供以网络为中心的空中交通管理(ATM)功能的开发和交付。本文提出了一种高效,有效和可重复使用语义数据服务(SDS)的总体方法,以解决面向服务的体系结构(SOA)实施所暴露的基本数据问题。本文介绍的SDS框架利用了新的/新兴的语义技术和标准来进行数据丰富,中介。表示,融合,访问,可视化和安全性。主要区别在于通过务实的语义技术应用来扩展传统SOA数据层的方法和过程。本文介绍的SDS框架和支持方法论解决了“数据问题”的固有挑战,为国防部(DoD)的以网络为中心的数据战略的“现实” SOA表现奠定了基础,该战略最大程度地分离了关键任务数据从用户界面和软件应用程序中提取数据,并使用跨ATM社区(COI)共享,可互操作的词汇表来操作数据。 SDS框架利用本体作为模型驱动的数据集成,充实和融合的基础,从而为基本的企业信息结构增加了凝聚力和价值。例如,诸如国家信息交换模型(NIEM),海事信息交换模型(MIEM),通用核心和联合咨询命令与控制信息交换数据模型(JC3IEDM)之类的数据模型的语义表示充当可插拔数据融合本体。 。每个已部署的SDS实例都可以用作可重用的基础结构,用于各种服务和应用程序,这些服务和应用程序对COI和更广泛的NextGen SOA生态系统都是有益的。 SDS提供的抽象为自动推理和关联信息增加了强大的功能。

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