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.


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    Titel :

    The URREF ontology for semantic wide area motion imagery exploitation


    Beteiligte:
    Blasch, Erik (Autor:in) / Costa, Paulo C. G. (Autor:in) / Laskey, Kathryn B. (Autor:in) / Ling, Haibin (Autor:in) / Chen, Genshe (Autor:in)


    Erscheinungsdatum :

    01.07.2012


    Format / Umfang :

    1170526 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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