DocumentCode :
2371412
Title :
The URREF ontology for semantic wide area motion imagery exploitation
Author :
Blasch, Erik ; Costa, P.C.G. ; Laskey, Kathryn Blackmond ; Haibin Ling ; Genshe Chen
Author_Institution :
Air Force Res. Lab., Rome, NY, USA
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
228
Lastpage :
235
Abstract :
Current advances operational information fusion systems (IFSs) require common semantic ontologies for collection, storage, and access to multi intelligence information. One example is the connections between physics-based (e.g. video) and text-based (e.g. reports) describing the same situation. Situation, user, and mission awareness are enabled through a common ontology. In this paper, we utilize the uncertainty representation and reasoning evaluation framework (URREF) ontology as a basis for describing wide-area motion imagery (WAMI) analysis to determine uncertainty attributes. As part of the Evaluation of Technologies for Uncertainty Representation Working Group (ETURWG), both the URREF and a WAMI challenge problem are available for research purposes from which we provide an exemplar schema to link physics-based and text-based uncertainty representations to explore a common uncertainty demonstration.
Keywords :
image fusion; image motion analysis; inference mechanisms; information retrieval; information storage; ontologies (artificial intelligence); ETURWG; Evaluation of Technologies for Uncertainty Representation Working Group; IFS; URREF ontology; WAMI analysis; mission awareness; multi intelligence information access; multi intelligence information collection; multi intelligence information storage; operational information fusion systems; physics-based uncertainty representations; reasoning evaluation framework; semantic wide area motion imagery exploitation; text-based uncertainty representations; Hard-soft Information Fusion; Knowledge Representation; Measures of Effectiveness; Ontology; Performance Evaluation; Uncertainty Reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference (NAECON), 2012 IEEE National
Conference_Location :
Dayton, OH
ISSN :
0547-3578
Print_ISBN :
978-1-4673-2791-6
Type :
conf
DOI :
10.1109/NAECON.2012.6531059
Filename :
6531059
Link To Document :
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