Agile sensor tasking for CoIST using natural language knowledge representation and reasoning

David Braines; Geeth de Mel; Chris Gwilliams; Christos Parizas; Diego Pizzocaro; Flavio Bergamaschi; Alun Preece

doi:10.1117/12.2053289

10 June 2014 Agile sensor tasking for CoIST using natural language knowledge representation and reasoning

David Braines, Geeth de Mel, Chris Gwilliams, Christos Parizas, Diego Pizzocaro, Flavio Bergamaschi, Alun Preece

Proceedings Volume 9079, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V; 907905 (2014) https://doi.org/10.1117/12.2053289
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

We describe a system architecture aimed at supporting Intelligence, Surveillance, and Reconnaissance (ISR) activities in a Company Intelligence Support Team (CoIST) using natural language-based knowledge representation and reasoning, and semantic matching of mission tasks to ISR assets. We illustrate an application of the architecture using a High Value Target (HVT) surveillance scenario which demonstrates semi-automated matching and assignment of appropriate ISR assets based on information coming in from existing sensors and human patrols operating in an area of interest and encountering a potential HVT vehicle. We highlight a number of key components of the system but focus mainly on the human/machine conversational interaction involving soldiers on the field providing input in natural language via spoken voice to a mobile device, which is then processed to machine-processable Controlled Natural Language (CNL) and confirmed with the soldier. The system also supports CoIST analysts obtaining real-time situation awareness on the unfolding events through fused CNL information via tools available at the Command and Control (C2). The system demonstrates various modes of operation including: automatic task assignment following inference of new high-importance information, as well as semi-automatic processing, providing the CoIST analyst with situation awareness information relevant to the area of operation.

Citation Download Citation

David Braines, Geeth de Mel, Chris Gwilliams, Christos Parizas, Diego Pizzocaro, Flavio Bergamaschi, and Alun Preece "Agile sensor tasking for CoIST using natural language knowledge representation and reasoning", Proc. SPIE 9079, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V, 907905 (10 June 2014); https://doi.org/10.1117/12.2053289

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