Agile sensor tasking for CoIST using natural language knowledge representation and reasoning
| Autor: | Alun Preece, Christos Parizas, Flavio Bergamaschi, Christopher Gwilliams, Diego Pizzocaro, Geeth de Mel, Dave Braines |
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| Rok vydání: | 2014 |
| Předmět: |
Situation awareness
Knowledge representation and reasoning business.industry Computer science Inference Ontology (information science) language.human_language Controlled natural language Human–computer interaction language Systems architecture Command and control Artificial intelligence business Mobile device Natural language Semantic matching |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2053289 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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