Name
Abstract | ||
|---|---|---|
Recent advances in cognitive computing technology, mobileplatforms, and context-aware user interfaces have made itpossible to envision multi-agency situational understandingas a ‘conversational’ process involving human and machineagents. This paper presents an integrated approach to informationcollection, fusion and sense-making founded onthe use of natural language (NL) and controlled natural language(CNL) to enable agile human-machine interaction andknowledge management. Examples are drawn mainly fromour work in the security and public safety sectors, but the approachesare broadly applicable to other governmental andpublic sector domains. Key use cases for the approach arehighlighted: rapid acquisition of actionable information, lowtraining overhead for non-technical users, and inbuilt supportfor the generation of explanations of machine-generated outputs. |
Year | Venue | Field |
|---|---|---|
2017 | AAAI Fall Symposia | Controlled natural language,Use case,Computer science,Knowledge management,Agile software development,Natural language,Situational ethics,Public sector,User interface,Cognitive computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alun D. Preece | 1 | 974 | 112.50 |
| Dave Braines | 2 | 61 | 11.18 |