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.
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.