Visible to the public Automatic Course of Action Generation Using Soft Data for Maritime Domain Awareness

TitleAutomatic Course of Action Generation Using Soft Data for Maritime Domain Awareness
Publication TypeConference Paper
Year of Publication2016
AuthorsPlachkov, Alex, Abielmona, Rami, Harb, Moufid, Falcon, Rafael, Inkpen, Diana, Groza, Voicu, Petriu, Emil
Conference NameProceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4323-7
Keywordscourse of action recommendation, Decision support systems, high-level information fusion, Human Behavior, Metrics, multicriteria decision making, natural language processing, pubcrawl, Resiliency, soft data
Abstract

Information Fusion (IF) systems have long exploited data provided by hard (physics-based) sensors with the aspiration of making sense of the environment they are monitoring. In recent times, the IF community has recognized the potential of utilizing data generated by people, also known as soft data. In this study, we demonstrate how course of action (CoA) generation, one of the key elements of Level 3 High-Level Information Fusion and a vital component for security and defense decision support systems, can be augmented using soft (human-derived) data for improved mission effectiveness. This conceptualization is validated through an elaborate experiment situated in the maritime world. To the best of the authors' knowledge, this is the first study to apply soft data to automatic CoA generation in the maritime domain.

URLhttp://doi.acm.org/10.1145/2908961.2931678
DOI10.1145/2908961.2931678
Citation Keyplachkov_automatic_2016