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AgroHackthon Montpellier 29 June AgroHackthon Montpellier 29 June

AgroHackthon Montpellier 29 June - PowerPoint Presentation

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AgroHackthon Montpellier 29 June - PPT Presentation

Elizabeth Arnaud MarieAngelique Laporte Caterina Caracciolo Tom Baker Ferdinando Valle What is CGIAR A n international organization that advances international agricultural research ID: 801303

ontology length spike pour length ontology pour spike information dataverse root dans annotation mapping annotator cassava crop statements 100cm

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Presentation Transcript

Slide1

AgroHackthonMontpellier 29 June

Elizabeth Arnaud

Marie-Angelique

Laporte

Caterina

Caracciolo

Tom Baker

Ferdinando

Valle

Slide2

What is CGIAR ?

A

n

international organization that advances international agricultural research for food security.

Photo

CGIAR

15

Centers worldwide

40 years

of

research

Over

8,000

scientists, researchers, technicians, and staff

Slide3

Crop Ontology

www.cropontology.org

Banana

Barley (

ICARDA, POLAPGEN

)

Cassava

Chickpea Common bean Cowpea Groundnut Lentil Maize Oat (Global Triticeae) Pearl millet Pigeon Pea Potato Soybean (IITA & USDA) Sweet Potato Rice Sorghum Vitis (INRA) Wheat Yam

Slide4

Standard Variable

Method and scales are important

to capture for supporting data

comparison & interpretation

Ontologies provide sometimes brief

information on Methods but as a text in the attribute

information

A Variable is combination of

Property

(Trait) + Method + Scales/unitsIt annotates the actual value of the measurement Has a unique name -> Proposed naming convention: P_M_STrait = Entity+ Quality(Root) (Length) Average root length expressed in cm Average root length scored on a 3 level scale :1=short (<50cm)2= medium (50-100cm)3=long (>100cm)

Slide5

Development of the Agronomy Ontology (

AgrO

)

Socio-

Economy

Trial Information

Person

Experimental design

Site

informations

Institute informations Agricultural operationsLand preparation SeedingFertilizerIrrigationPest controlHarvestAgricultural equipmentMonitored dataCrop OntologyGermplasmBiotic factorsAbiotic factors SoilRainfallLightTemperature Humidity AtmospherePest Ontology

Agronomy Ontology

Slide6

Annotation tool

Slide7

Mapping based on EQ statements

CO_321:0000056

Spike Length

TO:0000271

Inflorescence Length

?

PO:0009049

Inflorescence

Synonym

: spike

CO_321:0000056Spike LengthTO:0000271Inflorescence LengthPO:0009049InflorescenceSynonym: spike PATO:0000122LengthEntity QualityInferencePATO:0000122LengthEntity Qualityequivalent

Slide8

Planteome web site

Rice

Cassava

Enabling retrieving annotations

done with CO

Slide9

Some Agrisemantics group members proposition

Annotator

Improve Annotator so user can upload other type of files than text: tabular files

Store a missing concept for submissionLook at the Annotation tool on Crop Ontology web siteDiscovery of other vocabularies

Mappings Add more finer ways of mapping terms than just string exact matchTest publishing results of

Planteome mapping on EQ statements?

Slide10

CIMMYT Dataverse

Slide11

Adding Keywords on Dataverse

Data set sur

dataverse

=URI derriere chaque ;ots cles Agroportal

fournit les termes dans divers formats - OWL Interface utilisateurs

pour decouvrir les termesIl suffirait de prendre la traduction automatique d’une onto en OWL en

SKOS et la placer sur SKOSMOS et offrir dans le Browser pour annotation – savoir si la perte de semantique, specification

formelle est importante ou non pour ce type d’utilisation Hypothese : cette perte dans la traduction n’est pas

impactante

pour l’utilisation

décriteOffrir des mots clés Decouverte des concepts