The URREF ontology for semantic wide area motion imagery exploitation

Abstract

Current advances operational information fusion systems (IFSs) require common semantic ontologies for collection, storage, and access to multi intelligence information. One example is the connections between physics-based (e.g. video) and text-based (e.g. reports) describing the same situation. Situation, user, and mission awareness are enabled through a common ontology. In this paper, we utilize the uncertainty representation and reasoning evaluation framework (URREF) ontology as a basis for describing wide-area motion imagery (WAMI) analysis to determine uncertainty attributes. As part of the Evaluation of Technologies for Uncertainty Representation Working Group (ETURWG), both the URREF and a WAMI challenge problem are available for research purposes from which we provide an exemplar schema to link physics-based and text-based uncertainty representations to explore a common uncertainty demonstration.