title: Ontological problem-solving framework for assigning sensor systems and algorithms to high-level missions.
abstract: 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.
authors.affiliation: Department of Electrical and Computer Engineering, Herff College of Engineering, University of Memphis, 3720 Alumni Avenue, Memphis, TN 38152, USA. jqualls@rendermatrix.com
authors.forename: Joseph
authors.initials: J
authors.lastname: Qualls
authors.forename: David J
authors.initials: DJ
authors.lastname: Russomanno
mesh_terms: D000465:Algorithms; D011340:Problem Solving