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Proceedings Paper

Aligning vocabulary for interoperability of ISR assets using authoritative sources
Author(s): Steve Hookway; Terry Patten; Joe Gorman
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Paper 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.

Paper Details

Date Published: 4 May 2017
PDF: 6 pages
Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, 1019007 (4 May 2017); doi: 10.1117/12.2265948
Show Author Affiliations
Steve Hookway, Charles River Analytics, Inc. (United States)
Terry Patten, Charles River Analytics, Inc. (United States)
Joe Gorman, Charles River Analytics, Inc. (United States)

Published in SPIE Proceedings Vol. 10190:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII
Tien Pham; Michael A. Kolodny, Editor(s)

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