DocumentCode :
549243
Title :
Temporal alignment in soft information processing
Author :
McMaster, Deven ; Nagi, Rakesh ; Sambhoos, Kedar
Author_Institution :
Dept. of Ind. & Syst. Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA
fYear :
2011
fDate :
5-8 July 2011
Firstpage :
1
Lastpage :
8
Abstract :
In a counterinsurgency environment, patrol or spot reports and human observations stream into a soft information fusion node in arbitrary temporal order. This paper discusses the use of discrete temporal features and interval logic for temporal alignment in soft information. This aligned sequence can be presented to a graph matching method for situational understanding. Temporal transformations will provide a “present” tense time for incoming messages, which will be represented in a graphical form. The use of the OWL-Time ontology, along with a rule based inference engine JENA, enables messages to be placed in linear order. Given such information, it is feasible to match given scenarios of interest which contain temporal specific requirements. This is accomplished using a temporal version of graph matching. Extensions on this research will include considerations of uncertainty in time through fuzzy representations.
Keywords :
graph theory; ontologies (artificial intelligence); sensor fusion; uncertainty handling; OWL-Time ontology; aligned sequence; arbitrary temporal order; counterinsurgency environment; discrete temporal features; fuzzy representations; graph matching method; interval logic; situational understanding; soft information fusion node; soft information processing; temporal alignment; temporal version; Adaptation models; Aerospace electronics; Algorithm design and analysis; OWL; Ontologies; Time frequency analysis; XML; Graph matching; JENA; OWL; Ontology; Temporal; TruST;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9
Type :
conf
Filename :
5977686
Link To Document :
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