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Aligning vocabulary for interoperability of ISR assets using authoritative sources

机译:使用权威资源调整词汇表以实现ISR资产的互操作性

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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:越来越多的以网络为中心的传感器平台库显示出增强态势感知能力的巨大潜力。与传统的情报,监视和侦察(ISR)产品结合使用时,非传统传感器会收集各种各样的数据,这些数据可以提供更准确,更全面的通用操作图。集成挑战之一是调解不同数据提供者用来描述他们提取的数据的术语差异。数据使用者应该能够使用他们熟悉的词汇来引用信息,并依靠框架来处理中介;例如,应该由框架来确定两个不同的术语是同一概念的同义词。在本文中,我们介绍了一种使用权威资源(例如Wikipedia(Intellipedia Wiki的替代品))自动执行此对齐的方法,并提供了实验结果,表明该方法能够在不同术语之间对齐大量概念。

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