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Aligning vocabulary for interoperability of ISR assets using authoritative sources

机译:使用权威来源对准ISR资产互操作性的词汇

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The growing arsenal of network-centric sensor platforms shows great potential to enhance situational awareness capabilities. Non-traditional sensors collect a diverse range of data that can provide a more accurate and comprehensive common operational picture when combined with conventional intelligence, surveillance, and reconnaissance (ISR) products. One of the integration challenges is mediating differences in terminology that different data providers use to describe the data they have extracted. A data consumer should be able to reference information using the vocabulary that they are familiar with and rely on the framework to handle the mediation; for example, it should be up to the framework to identify that two different terms are synonyms for the same concept. In this paper we present an approach for automatically performing this alignment using authoritative sources such as Wikipedia (a stand-in for the Intellipedia wiki), and present experimental results that demonstrate that this approach is able to align a large number of concepts between different terminologies.
机译:以网络为中心的传感器平台的不断增长的阿森纳显示出提高态势意识能力的巨大潜力。非传统传感器收集各种数据,可以在与传统智能,监控和侦察(ISR)产品相结合时提供更准确和全面的常用操作。其中一个集成挑战正在调解术语中不同数据提供商用于描述他们提取的数据的差异。数据消费者应该能够使用他们熟悉的词汇表的信息引用信息,并依赖框架来处理调解;例如,它应该达到框架,以确定两种不同的术语是同一概念的同义词。在本文中,我们提出了一种使用维基百科(Intellipedia Wiki的立场)等权威来源自动执行这一对齐的方法,并提出了实验结果,表明这种方法能够对齐不同术语之间的大量概念。

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