We want to create a framework to turn agronomy and biodiversity data into knowledge –semantically described, interoperable, actionable, open– and investigate scientific methods and tools to exploit this knowledge for applications in science & agriculture
What we (will) do?
D2KAB’s primary objective is to create a framework to turn agronomy and biodiversity data into knowledge –semantically described, interoperable, actionable, open– and investigate scientific methods and tools to exploit this knowledge for applications in science & agriculture. Agronomy/agriculture and biodiversity (ag & biodiv) face several major societal, economical, and environmental challenges, a semantic data science approach will help to address. We shall provide the means –ontologies and linked open data– for ag & biodiv to embrace the semantic Web to produce and exploit FAIR data. To do so, we will develop new original methods and algorithms in the following areas: data integration, text mining, semantic annotation, ontology alignment and linked data exploitation.
Who are we?
D2KAB project brings together a unique multidisciplinary consortium of 12 partners to achieve this objective: 2 informatics research units (LIRMM, I3S); 6 INRA/IRSTEA/IRD applied informatics research units (URGI, MaIAGE, IATE, DIST, TSCF, DIADE) specialized in agronomy or agriculture; 2 labs in biodiversity and ecosystem research (CEFE, URFM); 1 association of agriculture stakeholders (ACTA); and 1 partnership with Stanford BMIR department. Each of the project driving scenarios (food packaging, agro-agri linked data, wheat phenotype, ecosystems & plant biogeography) will have a significant impact and produce concrete outcomes for ag & biodiv scientific communities and socio-economic actors in agriculture.
What are our objectives?
Objective 1: To develop state-of-the-art methods and technologies for ontology lifecycle and alignment.
Objective 2: To build the agronomy, agriculture and biodiversity Linked Open Data cloud.
Objective 3: To enable new semantically driven agronomy and biodiversity science.
How we will do?
D2KAB develops and supports AgroPortal
The vocabulary and ontology repository dedicated to agri-food hosts 140 semantic artefacts including some reference resources in the domain: Agrovoc, NAL thesaurus, Crop Ontology, TOP thesaurus, AnaEE thesaurus, etc.
In Sept. 2020 D2KAB released version 2.0 of AgroPortal. Check out our release notes.
Consortium & Partners
ANR D2KAB is a formal consortium of 10 units and 2 external collaborators, which cover 7 important research organisations. We also partner with 2 companies.
A vocabulary and ontology repository for agronomy
Within D2KAB, new functionalities are developed (e.g., SKOS support, FAIRness assessment, mapping interoperability, etc.), new semantic resources are regularly uploaded and the collaboration with the OntoPortal Alliance helps to mutualize efforts with BioPortal, EcoPortal, etc.
See GitHub: https://github.com/agroportal/project-management
Ontologies, semantic resources and alignements
We develop new or maintain pre-exisiting ontologies, thesaurus or semantic resources in-use within D2KAB scenarios
Crop Planning and Production Process Ontology (C3PO)
FCU - TAXREF-LD alignement
WHEATPHENOTYPE - CO_321 alignement
List of events organized or co-organized by project partners and related to D2KAB.
Project scientific meetings
Support & Funding
D2KAB is mostly funded by the French National Research Agency. Additional funding is described hereafter.