A semi-supervised learning framework based on spatio-temporal semantic events for maritime anomaly...

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A semi-supervised learning framework based A semi-supervised learning framework based

on spatio-temporal semantic events on spatio-temporal semantic events

for maritime anomaly detection and behaviour analysisfor maritime anomaly detection and behaviour analysis

Arnaud VandecasteeleArnaud VandecasteeleRodolphe DevillersRodolphe Devillers

Aldo NapoliAldo Napoli

CoastGIS - GIS and New Technologies - June 20

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Background & Research problemsMaritime domain Problem

Semantic Event ModellingWhat is an ontology ?Simple Event ModelVessels behaviours analysis

Prototype & examplesPrototype architectureComponents of the architectureExamples

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Context

Economic

90% of world trade is transported by sea In Europe 90% of oil and gas are transported by sea

Illegal Fishing

Only 6% of illegal fishing frauds are detected 88% of fishing stocks in the EU are overexploited

Illegal immigration

55% of illegal border crossing immigration is done by sea (EU) 3000 illegal ''known'' immigrants lost their life at sea every year

Source : ICC International Maritime Bureau

Maritime domain

Background & Research problems >Background & Research problems > Semantic Event Modelling > Prototype & examples

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Poor interface

Data Overflow

Few information

Large surveillance area

High maritime traffic density

Cognitive Overflow

No tools for automatic detection

Maritime information system


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?

ImproveImprove Detection & Analysis

Better understandingunderstanding for maritime surveillance

High volume of data

Heterogeneous data and knowledge

Distributeddata and knowledge

Analysis ofcomplex information

Research problem


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Improve UnderstandingAn enriched formalization with spatial capabilities offers a better

way to describe and analyze the behaviour of the vessels 1

Formalize expert knowledge

Automatedspatial reasoning

Spatial Ontologies

2 Integrate the spatial dimension into ontologies

Automatic detectionof suspicious events

Automatic identificationof abnormal behaviours

Research problem


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Formalize Vocabulary

RepresentReuse

SharingKnowledge

Automated Reasoning

Humans & Systems Interoperability

“an ontology is a formal, explicit specification of a shared conceptualisation”Studer, 1998

Hepp, 2008

Why an ontology ?

Background & Research problems > Semantic Event Modelling > Semantic Event Modelling > Prototype & examples

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Concept A Concept BRelations

Individual 1Properties1properties2

Individual 2

Ontology components

Vessel Type of VesselhasType

Vessel 1IMO: 1234562

Speed: 12

Tanker

Example : how to describe a tanker ?

hasType

subConcept1 subConcept2

subClassOf subClassOf


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“Function played”

ROLE

ACTOR

PLACE“Who”

“Where”

“With What”

“What”

EVENT

Simple Event Model: 5 cores classes


Van Hage, 2012

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“Function played”

ROLE

ACTOR

PLACE“Who”

“Where”

“Whit What”

“What”

EVENT

Time-Stamped Entity

subClassOfsubClassOf

subClassOf


TimeStamp

Linked to a Time-Stamped Entity


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ROLE

ACTOR

PLACE

EVENT

Time-Stamped Entity


subClassOf


Takes place in

TimeStamp

Participates inas role

(begins in place - ends in place)

hasRole

Takes place in

Takes place in

Involves inParticipates in

Linked together


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Actor TypeRole Type Event Type Object Type Place Type

ROLE

ACTOR

PLACE

EVENT

Time-Stamped Entity


subClassOf


Takes place in

TimeStamp


(begins in place - ends in place)

hasRole

Takes place in

Takes place in

Involves inParticipates in

Has role type

Has Actor type

Has Event type

Has object type

Has place type

Has Actr type

Linked together with types


13/24Background & Research problems > Semantic Event Modelling > Semantic Event Modelling > Prototype & examples

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ACTOR

PLACE

EVENT

Vesselid:mmsi

Tanker

Rdf:type

Rdf:type

Port of Vancouver

GeoNameId:6173335

Rdf:type

Eez:CanadaGeoNameId : 6251999

Lat:49°16'37" N Lon:123°07'15" W

Has Actor type

EventAnchorage


2013-06-16 2013-06-20

begins at ends at

Examples : Tanker anchored in a port


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Prototype architecture

Background & Research problems > Semantic Event Modelling > Prototype & examplesPrototype & examples

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Dataset :

More than 5 millions of AIS positionsBetween February and December 2009

InformationPosition, timestamp, heading, speed...

http://www.chorochronos.org/?q=node/9

Data from the French Naval Academy Resarch Lab


http://www.chorochronos.org/?q=node/9

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Vessels' positions

Spatio-Temporal interpolationof vessels' positions

Vessel's Trajectory

Spatio-Temporal interpolationof Vessel's Trajectory

Spatio-Temporal filtering


Etienne, 2012

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Feed Ontology


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Semantic Event


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Spatio-Temporal Semantic Events


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Timeline to navigatethrough time

Time widgetto animate the data

3D Web Mapping interface

Visualization of the results


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2D View

3D View

Example of acceleration events


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Conclusion

Ontologies provide a richer way to describe events

A richer description can provide a better understanding of a situation

A semantic model linked to a webmapping interface has been created

This prototype offers an interface to explore semantic events

More events type must be added

Vessels must be linked to the timeline

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Arnaud Vandecasteelea.vandecasteele [at] mun.ca

Questions ?

Date post:	20-Jun-2015
Category:	Technology
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A semi-supervised learning framework based on spatio-temporal semantic events for maritime anomaly...

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