This Agrisemantics (previously called VEST-AgroPortal) Map of Data Standards provides a global map of existing vocabularies for the exchange of data in the field of food and agriculture. The directory is the result of the merging of records from two different sources: the VEST Registry (a registry of vocabularies of all types and all formats) and the AgroPortal (a repository of ontologies).

Valeria Pesce (valeria.pesce@fao.org)

The BB Task is an information extraction task involving entity recognition, entity normalization and relation extraction. The BB Task consists in recognizing mentions of microorganisms and microbial biotopes and phenotypes in scientific and textbook text, normalizing these mentions according to domain knowledge resources (a taxonomy and an ontology), and extracting relations between them.

Claire Nédellec (claire.nedellec@inrae.fr)

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.

d2kab-contact@lirmm.fr

Florilege web application compiles the information about microbes computed by advanced text-mining of the scientific literature and information from Biological Resource Centers. Florilege uses OntoBiotope to index textual mentions of microbes habitats and phenotypes. Information retrieval is supported by a powerful semantic search engine that enables ontology-based query.

Claire Nédellec (claire.nedellec@inrae.fr)

L'ambition pour OntoBiotope est de normaliser la description des habitats microbiens au travers d'une ontologie (également appelée OntoBiotope).

Claire Nedellec (claire.nedellec@jouy.inrae.fr)

VO@INRAE est un service proposé par la Direction pour la Science Ouverte (DiPSO). Il s’adresse aux agents INRAE qui souhaitent faire connaître des vocabulaires produits dans le cadre de leurs activités.

Sophie Aubin (sophie.aubin@inrae.fr)