Integration of Ontologies and Bayesian Networks for Maritime Situation Awareness

Author

Pilato, Giovanni ; Augello, Agnese ; Missikoff, Michele ; Taglino, Francesco

Author_Institution

ICAR, Palermo, Italy

fYear

2012

fDate

19-21 Sept. 2012

Firstpage

170

Lastpage

177

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantic Computing (ICSC), 2012 IEEE Sixth International Conference on

Conference_Location

Palermo

Print_ISBN

978-1-4673-4433-3

Type

conf

DOI

10.1109/ICSC.2012.25

Filename

6337101