Publication | Closed Access
PROGNOS: Predictive situational awareness with probabilistic ontologies
52
Citations
5
References
2010
Year
Unknown Venue
Artificial IntelligenceOntology (Information Science)EngineeringOntology EngineeringSituation AwarenessIntelligent SystemsSemantic WebProbabilistic OntologyData ScienceManagementSystems EngineeringData IntegrationEffective Psaw SystemSemantic IntegrationPredictive AnalyticsKnowledge DiscoveryComputer ScienceSemantic ComputingPsaw SystemAutomated ReasoningIndustrial InformaticsProbabilistic OntologiesSemantic Interoperability
Information in the battlefield comes from reports from diverse sources, in distinct syntax, and with different meanings. There are many kinds of uncertainty involved in this process, e.g., noise in sensors, incorrect, incomplete, or deceptive human intelligence, and others, which makes it essential to have a coherent, consistent, and principled means to represent such phenomena among the systems performing Predictive Situation Awareness (PSAW). PROGNOS is a PSAW system being developed to work within the operational context such as U.S. Navy's FORCENet. It employs probabilistic ontologies in a distributed system architecture as a means to provide semantic interoperability within an intrinsically complex and uncertain environment. This paper explores our current status in developing the system while addressing the major research challenges for making an effective PSAW system to support maritime operations.
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