Title
Building a “living database” for human-machine intelligence analysis
Abstract
In modern military operations the emphasis is on smaller teams and more ad hoc teamwork. This requires greater agility both in terms of capturing actionable intelligence as well as appropriate dissemination and fusion of that information to coalition team members based on their tasks and need to know. In previous research and development we have explored the potential for a controlled natural language (CNL), acting as the sole knowledge representation language to facilitate cooperative working among human and machine agents. In this paper we envision a “living database” to support situation understanding, enable intelligence reporting, fusion and dissemination based on context. The human and machine users of the system have the ability to add, remove, or edit existing information using the CNL, including extensions to the model (or schema) in real-time. In this paper we describe various examples undertaken using this approach along with initial experiments using a conversational software agent to enable the field user to interact with such information in full natural English language.
Year
Venue
Keywords
2015
Information Fusion
cooperative systems,database management systems,information dissemination,knowledge representation,military computing,natural language processing,sensor fusion,software agents,CNL,controlled natural language,cooperative working,human agent,human-machine intelligence analysis,information dissemination,information fusion,knowledge representation language,living database,machine agent,military operation,natural English language,software agent,Agile Integration,Controlled Natural Language,Hybrid Teams,Information Fusion,Ontology
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Dave Braines16111.18
John Ibbotson200.68
Darren Shaw300.68
Alun D. Preece4143.06