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The Space Domain Ontologies

In Alexander P. Cox, C. K. Nebelecky, R. Rudnicki, W. A. Tagliaferri, J. L. Crassidis & B. Smith (eds.), National Symposium on Sensor & Data Fusion Committee (2021)

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  1. An Introduction to Hard and Soft Data Fusion via Conceptual Spaces Modeling for Space Event Characterization.Jeremy Chapman, David Kasmier, John L. Crassidis, James L. Llinas, Barry Smith & Alex P. Cox - 2021 - In Jeremy Chapman, David Kasmier, John L. Crassidis, James L. Llinas, Barry Smith & Alex P. Cox (eds.), National Symposium on Sensor & Data Fusion (NSSDF), Military Sensing Symposia (MSS).
    This paper describes an AFOSR-supported basic research program that focuses on developing a new framework for combining hard with soft data in order to improve space situational awareness. The goal is to provide, in an automatic and near real-time fashion, a ranking of possible threats to blue assets (assets trying to be protected) from red assets (assets with hostile intentions). The approach is based on Conceptual Spaces models, which combine features from traditional associative and symbolic cognitive models. While Conceptual Spaces (...)
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  • Implementing Dempster-Shafer Theory for property similarity in Conceptual Spaces modeling.Jeremy R. Chapman, John L. Crassidis, James Llinas, Barry Smith & David Kasmier - 2022 - Sensor Systems and Information Systems IV, American Institute of Aeronautics and Astronautics (AIAA) SCITECH Forum 2022.
    Previous work has shown that the Complex Conceptual Spaces − Single Observation Mathematical framework is a useful tool for event characterization. This mathematical framework is developed on the basis of Conceptual Spaces and uses integer linear programming to find the needed similarity values. The work of this paper is focused primarily on space event characterization. In particular, the focus is on the ranking of threats for malicious space events such as a kinetic kill. To make the Conceptual Spaces framework work, (...)
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