Presentation + Paper
4 May 2017 Aligning vocabulary for interoperability of ISR assets using authoritative sources
Steve Hookway, Terry Patten, Joe Gorman
Author Affiliations +
Abstract
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steve Hookway, Terry Patten, and Joe Gorman "Aligning vocabulary for interoperability of ISR assets using authoritative sources", Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, 1019007 (4 May 2017); https://doi.org/10.1117/12.2265948
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KEYWORDS
Intelligence systems

Standards development

Taxonomy

Sensors

Weapons

Data storage

Associative arrays

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