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ONTOLOGYINAPPLICATION:USECASES
[email protected]
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ASTROPHYSICALDATASEARCHUSECASEASON:AnOWL-Sbasedontologyforastrophysicalservices.T.Louge,MH.Karray,B.Archimède,J.Knödlseder.(2018)AstronomyandCompuYng.Vol24.CASAS:AtoolforComposingAutomaYcallyandSemanYcallyAstrophysicalServices.T.Louge,MH.Karray,B.Archimède,J.Knödlseder.(2017)AstronomyandCompuYngVol20.
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DBMS
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BringingaservicesontologyforastrophysicalservicesdiscoveryandcomposiYon
DBMS
DBMS
DBMS
DBMS
AstrophysicalServicesOntology(ASON)
User
Theproblem:Howtoeasethediscoveryofrelevantastrophysicaldatafollowingthespecificneedsoftheuser?Theidea:Itisnecessarytoprovideastandardizedwayofdescribingandaccessingdata,withoutmodifyingbyanymeanstheexisYngservicesproposedbydataproviders.Thesolu>onweproposed:ASON,thatdescribesboththedomainandthetechnicalaspectsofheterogeneousdataproviderservices.QueryingASONdoesnotrequireanyknowledgeofpredefinedkeywords,neitheranytechnicalproficiency.
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User
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DBMS VOService
VOServiceNon-VOcompliantservices
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Datamodeln°1 Datamodeln°2
Datamodeln°3
Whichkeywords?Whichregistries? 4
BringingaservicesontologyforastrophysicalservicesdiscoveryandcomposiYon
VOService
VOService VOServiceDBMS
DBMS
DBMS
DBMS
AstrophysicalServicesOnology(ASON)
User
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CASASsysteminterface
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DECISIONSUPPORTFORECOLABELING
Xu,D.,Karray,M.H.,&Archimède,B.(2018).Aknowledgebasewithmodularizedontologiesforeco-labeling:ApplicaYonforlaundrydetergents.ComputersinIndustry,98,118-133.Xu,D.,Karray,M.H.,&Archimède,B.(2017).AsemanYc-baseddecisionsupportplaiormtoassistproducts’eco-labelingprocess.IndustrialManagement&DataSystems,117(7),1340-1361.
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Ecolabeling
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• Issues– Heterogenous, and mulY-source criteria documentaYons
with no-
computableformat.–
TediousmanualprocessofproductevaluaYonforexperts.
• Challenges–
Achieveanappropriateeco-labelingknowledgerepresentaYon.–
Computerizeeco-labelingprocess.
• Proposedsolu>on–
ModularOntologyKnowledgebaseaboutecolabelsproductsandCriteria.–
ProposiYon of ontology based decision support system for
product’s
evaluaYon.
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• ECOLABELINGCRITERIA
?Amendment
?ISO
EUEco-labelcriteriadocumentsOWL2OntologyandSWRLRules
Translate
Modeling
KB
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EnYYes(OWL2)
Rules(SWRL)
Laundry_detergent
Iso_standards
Ghs_hazard_statement
Regulation_european_commission
European_risk_phrases
Commission_decision
didlist
EntitymoduleinOWL2
RulemoduleinSWRL
ImportsdependencyLaundry_detergent_criterion_5_packaging_requirements
Laundry_detergent_criterion_3_biodegradability_of_organics
Laundry_detergent_criterion_1_dosage_requirements
Laundry_detergent_criterion_2_toxicity_to_aquatic_organisms_critical_dilution_volume
Laundry_detergent_criterion_4_excluded_or_limited_substan
ces_and_mixtures
Lanudry_detergent_criteria
HeavyDutyLaundryDetergentsubClassOfCandidateLaundryDetergent
e.g.
Usecase:Laundrydetergent
ModularizaYondesignanddevelopmentoftheontologyknowledgebasetakingintoaccounttheevoluYonofeco-labelingcriteria
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Violationofrule
Violationofrule
Negativereasoningresult
Negativereasoningresult
…...
explanation
explanation
• Tool based on the ontologyevaluaYng ifaproduct
complieswiththeecolabelingcriteria.
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ThetoolprovidesargumentaYonaboutthelogicalreasoningusedtoprovideevaluaYondecision.
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TRANSPORTATIONPLANNINGUSECASE
Memon,M.A.,Karray,M.H.,Letouzey,A.,&Archimède,B.(2017).SemanYctransportaYonplanningforfoodproductssupplychainecosystemwithindifficultgeographiczones.IndustrialManagement&DataSystems,117(9),2064-2084.
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• Issues– Geographiczonesdifficulttoaccess.–
Needtousesmalltracks.– Differentkindsoffoodproducts.–
Manyconstraints:transportcondiYons,productfoodsstoragerequirements,
foodproductsassociaYoninthesametrack,etc.• Challenges
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GroupingfoodproductstogetherwhilerespecYnghygienicrequirements.–
OpYmisetheexploitaYonoflimitedtransportaYonmeans.–
Collaboratesmallcarriers.
• Proposedsolu>on–
Anontologywassetupdescribingthetransportoffoodproducts.–
MarketplaceplaiormforcollaboraYvefoodproducttransportaYon.
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GENERATEDCOLLABORATIVEPLANNING
Efficientcollbora>veplaningresepc>ngalldifferentskindofrequirmenets
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SEMANTICLINKINGOFEARTHOBSERVATIONDATAUSECASE
Anontology-basedmonitoringsystemformulY-sourceenvironmentalobservaYons.M.Masmoudi,S.BenAbdallahBenLamine,H.BaazaouiZghal,MHKarray,B.Archimede.22ndInternaYonalConferenceonKnowledge-BasedandIntelligentInformaYon&EngineeringSystems.ProceedingsofKES2018.
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• Issues– Heterogenous,massiveandmulti-sourcedata.–
Observationandmonitoringsystemsnotinteroperable.–
Unpredictablegrowthofnaturaldisasters.
• Challenges– Semanticinteroperabilitybetweendata.– Data
integration and linking to create a global view and
betterunderstandnaturalphenomena.
– Generatepredictionsfrommassiveandmulti-sourceobservations.•
Proposedsolution
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Asemanticdataintegrationapproachformulti-sourceandbigdataappliedtonaturaldisasterprediction
DATACOLLECTION
EM-DAT GADMCopernicus
BIGDATA
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APPLICATIONLAYER
DATACOLLECTIONLAYER
EM-DAT GADMCopernicus
BIGDATALAYER
SERVICEACCESSDATALAYER
SERVICEACCESSDATAAPI
DATAACCESSSERVICEIMPLEMENTATION
DATAPROCESSINGLAYER
USERINTERFACELAYER
User
SOURCESONTOLOGY
SERVICESONTOLOGY
Hypergraph-basedintegra>onLAYER
ModularEnvironmentalMonitoringOntology
ü BigData(Volume,Variety,Velocity)ü
Heterogenousformats(BD,files,Images,…)ü
SemanYcconfusionamongdomains=>Difficultytounderstandandinterpretdatatomakedecisions
SEMANTICLAYER
Online
LEARNINGENGINE
KB
Offline
Nointeroperability
Ontologiesto:ü GuaranteesemanYcinteroperabilityü
link,understandandintegratedataü
allowautomaYcreasoningandknowledgegeneraYon
HorizontalintegraYon:ü
OntologyautomaYcinstanYaYonwithmetadataü
AggregaYonContext=>GlobalView
NoGlobalVision
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Modulariza>onoftheontology
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Par>alViewofsomemodules
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Par>alviewoftheintegra>on(interrela>on)ofmodules
Thewholeinetgratedontologyincludesmorethan1200
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DefiniYonofrules
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Purpose SWRLruleR1 Classifyanenvironmentalprocess
toaspecifictypeofprocess.‘water-basedrainfall’(?r),precipitaYon(?p),'hasprecipitaYonvalue'(?r,?p),swrlb:greaterThan(?p,16),swrlb:lessThan(?p,50)->'veryheavyrainfall'(?r)
R2 Relatefloodingprocesstothecauseofveryheavyrain.
'veryheavyrainfall'(?r),date(?d),'spaYalregion'(?rg),'occurson'(?r,?d),'occursat'(?r,?rg),flooding(?f),'occurson'(?f,?d),'occursat'(?f,?rg)->'causedby'(?f,?r)
R3 RelateasoiltypetolimitedinfiltraYon.
soil(Regosol),'locatedin'(Regosol,?rg),'spaYalregion'(?rg),'soilinfiltraYon'(?inf)->'limitedsoilinfiltraYon'(?inf)
R4 Reclassifyageneraldisastertoaspecifictypeofdisaster.
flood(?f),date(?d),'spaYalregion'(?rg),'occurson'(?f,?d),'occursat'(?f,?rg),'waterrunoff'(?ro),'heavyrunoff'(?ro),'occurson'(?ro,?d),'occursat'(?ro,?rg)->'riverineflood'(?f)
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Examplesofqueriesonthemodel
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CQ SPARQLQuery ResultsQ 1 : W h a t a r e t h eenvironmental
processeswhichcancauseaflood?
SELECT?processWHERE{?processaenvo:’hydrologicalprocess’.?faenvo:flood.?fero:’causedby’?process}
‘damfailure’‘heavyrainfall’‘waterrunoff’
Q2:Whatarethespa>alzoneswhereavolcanicac>vityisthehighest?
SELECT?regionWHERE{?regionaobo:site.?vamemon:’volcanicacYvity’.?v
obo:’occur in’ ?region .?q a memon:’volcanic exposed’ .
?regionero:’hasquality’?q}
‘mid-ocean ridge’‘subducYonzone’
Q3:Whataretheenvironmentalmaterialsinvolvedineffusivevolcanicerup>on?
SELECT?materialWHERE{?materialaenvo:’environmentalmaterial’.?vaenvo:’effusiveerupYon’.?vero:’hasinput’?material}
magma
Q4:Whatisthetypeofsensorusedforgroundvibra>on?
SELECT?sWHERE{?saao:sensor.?smemon:observes?obs?obsamemon:’groundvibraYon’}
Seismometer
Q5:Whataretheproper>esobservedandassociatedtotheheavyrainfall?
SELECT?obsWHERE{?wamemon:’weathercondiYonofrainfall’.?wro:contains?obs.?hrmemon:described_by?w.?hramemon:’heavyrainfall’}
precipitaYonwindhumidity
Q6:Whatisthedisastercausedbyaheavyrainfall?
SELECT?dWHERE{?damemon:disaster.?dero:’disposiYon_of’?hv.?hvamemon:’veryheavyrainfall’}
flood
Q7:Whatunitispressuremeasuredin?
SELECT?uWHERE{?uainfo:’measurementunit’.?paobo:pressure.?pmemon:’hasmeasurementunit’?u}
bar
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InstanYaYonoftheKnowledgebase
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Linkingmul>-sourcedatawiththeOntology.Classesareshownasroundedboxes,individualsasrectangles.
Data
Data
Data
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QueriesontheKBvsDatabases
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Query NOAADatabase
OSSDatabase
ISMCDatabase
MEMOn
QueryA:selectaverageannualprecipita>onwheresoiltypeis“Ver>sol”
Noresult Noresult Noresult Between500and1000mm
QueryB:Selectsoiltypeinaridclimate
Noresult Noresult Noresult Arenosol
QueryC:selectenvironmentalprocessthatmayoccurwhereprecipita>onequalto30mm/h
Noresult Noresult Noresult
heavyrainfall,soilinfiltraYon,vegetaYondegradaYonprocess
