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Conversational services for multi-agency situational understanding

Preece, Alun David and Braines, David S. 2017. Conversational services for multi-agency situational understanding. Presented at: AAAI 2017 Fall Symposium: Cognitive Assistance in Government and Public Sector Applications, Washington, D.C., USA, 9-11 November 2017.
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Abstract

Recent advances in cognitive computing technology, mobile platforms, and context-aware user interfaces have made it possible to envision multi-agency situational understanding as a ‘conversational’ process involving human and machine agents. This paper presents an integrated approach to information collection, fusion and sense-making founded on the use of natural language (NL) and controlled natural language (CNL) to enable agile human-machine interaction and knowledge management. Examples are drawn mainly from our work in the security and public safety sectors, but the approaches are broadly applicable to other governmental and public sector domains. Key use cases for the approach are highlighted: rapid acquisition of actionable information, low training overhead for non-technical users, and inbuilt support for the generation of explanations of machine-generated outputs.

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: In Press
Schools: Computer Science & Informatics
Crime and Security Research Institute (CSURI)
Related URLs:
Last Modified: 31 Aug 2017 10:25
URI: http://orca.cf.ac.uk/id/eprint/104072

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