Browsing by Subject "Sensor Ontology"

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    Ontological Problem-Solving Framework for Assigning Sensor Systems and Algorithms to High-Level Missions
    (MDPI, 2011-08-29) Qualls, Joseph; Russomanno, David J.; Electrical and Computer Engineering, School of Engineering and Technology
    The lack of knowledge models to represent sensor systems, algorithms, and missions makes opportunistically discovering a synthesis of systems and algorithms that can satisfy high-level mission specifications impractical. A novel ontological problem-solving framework has been designed that leverages knowledge models describing sensors, algorithms, and high-level missions to facilitate automated inference of assigning systems to subtasks that may satisfy a given mission specification. To demonstrate the efficacy of the ontological problem-solving architecture, a family of persistence surveillance sensor systems and algorithms has been instantiated in a prototype environment to demonstrate the assignment of systems to subtasks of high-level missions.