Towards unbiased evaluation of uncertainty reasoning: The URREF ontology

Abstract

Current advances in technology, sensor collection, data storage, and data distribution have afforded more complex, distributed, and operational information fusion systems (IFSs). IFSs notionally consist of low-level (data collection, registration, and association in time and space) and high-level information fusion (user coordination, situational awareness, and mission control), which require a common ontology for effective communication and data processing. In this paper, we describe the ontology reference model developed as part of the uncertainty representation and reasoning evaluation framework (URREF). The URREF ontology is intended to provide guidance for defining the actual concepts and criteria that together comprise the comprehensive uncertainty evaluation framework being developed by the Evaluation of Technologies for Uncertainty Representation Working Group (ETURWG).