Ontology-based approach for vessel activity recognition

Recognising vessel activities like illegal fishing or human trafficking helps focusing resources and allows targeted inspections on suspicious vessels. This paper proposes an ontology-based approach for vessel activity recognition, aligned with prior works in the area of ontology-based activity reco...

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Bibliographic Details
Published inOCEANS 2021: San Diego – Porto pp. 1 - 5
Main Authors Zocholl, Maximilian, Iphar, Clement, Jousselme, Anne-Laure, Ray, Cyril
Format Conference Proceeding
LanguageEnglish
Published MTS 20.09.2021
Subjects
Activity recognition
Fuzzy logic
fuzzy ontology
maritime situational awareness
Oceans
Ontologies
ontology
Semantics
Target recognition
Uncertainty
vessel activity
vessel behaviour
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Summary:Recognising vessel activities like illegal fishing or human trafficking helps focusing resources and allows targeted inspections on suspicious vessels. This paper proposes an ontology-based approach for vessel activity recognition, aligned with prior works in the area of ontology-based activity recognition as well as with existing ontology design pattern including a discussion of the Common Core ontology. Existing definitions of vessel behaviours and activities are reviewed and summarised in a shared conceptualisation. The semantic description is technology-independent, supports portability and allows making a first step towards a combined data- and knowledge-driven vessel activity recognition, for an increased interpretability of information sources. A generic design pattern is proposed to cover more specific existing and potential future vessel activity definitions in a common way. We argue that the modelling and exploitation of uncertain information is a key enabler for vessel activity recognition, given the large variability of vessel behaviours and inherent uncertainty related to their intent.
DOI:10.23919/OCEANS44145.2021.9705824