DocumentCode :
567733
Title :
Towards unbiased evaluation of uncertainty reasoning: The URREF ontology
Author :
Costa, Paulo C G ; Laskey, Kathryn B. ; Blasch, Erik ; Jousselme, Anne-Laure
Author_Institution :
C4I Center, George Mason Univ., Fairfax, VA, USA
fYear :
2012
fDate :
9-12 July 2012
Firstpage :
2301
Lastpage :
2308
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).
Keywords :
ontologies (artificial intelligence); sensor fusion; Evaluation of Technologies for Uncertainty Representation Working Group ETURWG; IFS; URREF ontology; comprehensive uncertainty evaluation framework; data collection; data distribution; data processing; data storage; high-level information fusion; information fusion systems; mission control; ontology reference model; reasoning evaluation framework; registration; sensor collection; situational awareness; unbiased evaluation; uncertainty reasoning; uncertainty representation; user coordination; Accuracy; Cognition; Measurement; Ontologies; Quality of service; Standards; Uncertainty; Information Fusion; Knowledge Representation; Measures of Effectiveness; Ontology; Performance Evaluation; Uncertainty Reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2
Type :
conf
Filename :
6290584
Link To Document :
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