DocumentCode :
3223470
Title :
Lessons learned from developing SAWA: a situation awareness assistant
Author :
Matheus, Christopher J. ; Kokar, Mieczyslaw M. ; Baclawski, Kenneth ; Letkowski, Jerzy J. ; Call, Catherine ; Hinman, Michael ; Salerno, John ; Boulware, Douglas
Author_Institution :
Versatile Inf. Syst., Framingham, MA, USA
Volume :
2
fYear :
2005
fDate :
25-28 July 2005
Abstract :
SAWA is a situation awareness assistant being developed by Versatile Information Systems, Inc. During the process of its development, several lessons were learned about advantages and limitations of certain approaches, techniques, and technologies as they are applied to situation awareness. This paper begins with an overview of SAWA and then focuses on some of the more significant lessons learned. These include the pros and cons of leveraging semantic Web technologies, the handling of time-varying attributes, and the processing of uncertainty.
Keywords :
formal logic; ontologies (artificial intelligence); semantic Web; sensor fusion; time-varying systems; uncertainty handling; SAWA; Versatile Information Systems; formal reasoning; information fusion; learned lesson; ontology; semantic Web technology; situation awareness assistant; time-varying attribution; uncertainty processing; Educational institutions; Fuses; Information systems; Laboratories; Logistics; Monitoring; OWL; Ontologies; Particle measurements; Semantic Web; OWL; SWRL; formal reasoning; level-two fusion; ontologies; situation awareness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2005 8th International Conference on
Print_ISBN :
0-7803-9286-8
Type :
conf
DOI :
10.1109/ICIF.2005.1591963
Filename :
1591963
Link To Document :
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