Title
Enabling CoIST users: D2D at the network edge
Abstract
Rapid but informed decision-making capabilities at lower echelons are fast becoming a necessity in many coalition operations due to the dynamism associated with such environments. In this paper we investigate technologies to assist CoIST (Company Intelligence Support Team) users operating at the network edge in support of military operations. Through an integration experiment we illustrate the impact of such technologies in rapid decision-making situations. The paper describes the technology integration experiment in the context of a vignette and shows how a natural language conversational interface between human and machine agents in a hybrid team is used. The system can capture local information reporting, infer high value information based on background knowledge, automatically raise intelligence tracking tasks and match, rank and propose appropriate assets to tasks, taking into account contextual factors such as environmental and the distributed network conditions. The approach utilizes ontology-based resource matching capabilities and uses a Controlled Natural Language as a human-friendly - but machine processable - language that is expressive enough to serve as a single common format for both human and machine processing. This capability is designed to operate in a lightweight distributed environment at the edge of the network.
Year
Venue
Keywords
2014
Information Fusion
distributed processing,human computer interaction,military computing,natural language interfaces,ontologies (artificial intelligence),CoIST users,Company Intelligence Support Team,D2D,controlled natural language,data-to-decisions concept,distributed network conditions,human-friendly language,intelligence tracking tasks,local information reporting,machine processable language,military operations,natural language conversational interface,network edge,ontology-based resource matching capabilities,rapid decision-making situations,vignette,controlled natural language,conversational interaction,data-to-decisions,ontologies,sensor-mission matching
Field
DocType
Citations 
Technology integration,Dynamism,Ontology,Computer vision,Controlled natural language,Distributed Computing Environment,Vignette,Computer science,Edge device,Natural language,Artificial intelligence,Machine learning
Conference
1
PageRank 
References 
Authors
0.37
4
4
Name
Order
Citations
PageRank
Dave Braines16111.18
Alun D. Preece2974112.50
Geeth de Mel36714.49
Tien Pham410714.49