DocumentCode :
2568744
Title :
An enhanced spatial reasoning ontology for maritime anomaly detection
Author :
Vandecasteele, A. ; Napoli, Antonio
Author_Institution :
Centre for Crisis & Risk Res., MINES ParisTech, Sophia Antipolis, France
fYear :
2012
fDate :
16-19 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
Although originally conceived as a conceptual object for modelling knowledge, current ontologies do not make it possible to manipulate spatial knowledge. However, spatial knowledge is an essential component of any modelling specification. This problem provided the motivation for the creation of an expert system driven by an ontology. The system enables experts in the maritime domain to characterise abnormal ship behaviour based on formal semantic properties. Users are able to specify and execute spatial rules that are directly integrated into the ontology and a map interface linked to the ontology displays the results of the inferences obtained.
Keywords :
expert systems; marine engineering; ontologies (artificial intelligence); security of data; ships; spatial reasoning; abnormal ship behaviour; expert system; formal semantic properties; knowledge modelling; map interface; maritime anomaly detection; maritime domain; modelling specification; spatial knowledge; spatial reasoning ontology; spatial rule; Cognition; Geographic information systems; Marine vehicles; OWL; Ontologies; Semantics; Trajectory; Abnormal Maritime Behaviour; Spatial Ontology; Spatial Reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System of Systems Engineering (SoSE), 2012 7th International Conference on
Conference_Location :
Genoa
Print_ISBN :
978-1-4673-2974-3
Type :
conf
DOI :
10.1109/SYSoSE.2012.6384120
Filename :
6384120
Link To Document :
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