Title :
Integration of Ontologies and Bayesian Networks for Maritime Situation Awareness
Author :
Pilato, Giovanni ; Augello, Agnese ; Missikoff, Michele ; Taglino, Francesco
Author_Institution :
ICAR, Palermo, Italy
Abstract :
This paper describes the main lines of the Intelligent Maritime Awareness Situation System (IMASS) developed to support an Electronic Surveillance platform conceived to contrast pirates activities in the Aden Gulf. The proposal is based on a solution that integrates an ontological approach in the description of the observed reality and a Bayesian approach to represent the experience and the knowledge of the domain experts. The intelligent system has been developed at a prototypical stage and tested with a complex scenario created with a simulator. The results are encouraging and indicate that this is a promising direction to go.
Keywords :
belief networks; expert systems; marine safety; naval engineering computing; ontologies (artificial intelligence); surveillance; Aden Gulf; Bayesian approach; Bayesian networks; IMASS; domain experts; electronic surveillance platform; intelligent maritime awareness situation system; intelligent system; ontology integration; pirates activities; Bayesian methods; Boats; Ontologies; Semantics; Sensors; Surveillance; Bayesian Belief Network; Electronic Serveillance; Intelligent Decision Making; Maritime Situation Awareness; Ontology;
Conference_Titel :
Semantic Computing (ICSC), 2012 IEEE Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-4433-3
DOI :
10.1109/ICSC.2012.25