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DESCRIPTION:Click for Latest Location Information: http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4714\nResearchers at Intelligent Software Solutions, Inc. have recently developed a description logic based Complex Event Processing (CEP) system capable of operating directly against RDF graphs and triple stores. This system was initially designed to fuse near real-time multi-source data against event-based models in support of predictive analysis but can also support causal/diagnostic analysis and association discovery.  Missed detections are minimized via the application of Bayesian Nets to handle missing evidence as well using fuzzy Logic to handle partial evidence matching.  False detections are minimized via dynamic context propagation which dynamically generates precise event descriptions based on the context provided by existing evidence.  Because event data is inherently temporal and dynamic, several novel knowledge management approaches were introduced to facilitate temporal reasoning over fluents without requiring custom OWL/RDF extensions or a custom reasoner.  This talk will also address planned enhancements and future capabilities.\n? A domain independent Complex Event Processing (CEP) system that facilitates near real-time multi-INT fusion and predictive analysis against RDF graphs and triple stores\n? Minimizes missed detections related to missing & partial data\n? Bayesian Nets used to support missing evidence\n? Fuzzy Logic used to handle partial evidence matching\n? Minimizes false detections via dynamic context propagation  in which precise event descriptions are generated dynamically based on the context provided by existing evidence\n? Supports historical and real-time analysis and reasoning over changing data (truth maintenance)
DTSTART:20120606T163000
SUMMARY:Complex Event Processing over RDF Triple Stores
DTEND:20120606T171459
LOCATION: See Description
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