OntoBiotope-BioNLP-OST

DOI

This version OntoBiotope-BioNLP-OST is a subset of the OntoBiotope ontology. created for the Bacteria Biotope task of BioNLP-OST 2019 competition. OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope and the phenotype classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.

Identifier
DOI https://doi.org/10.15454/VSQKHB
Related Identifier https://doi.org/10.1016/j.fm.2018.04.011
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/VSQKHB
Provenance
Creator Nédellec, Claire
Publisher Recherche Data Gouv
Contributor Nedellec, Claire
Publication Year 2023
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Nedellec, Claire (INRA - Institut National de la Recherche Agronomique)
Representation
Resource Type Model; Dataset
Format application/octet-stream
Size 346919
Version 1.0
Discipline Agriculture, Forestry, Horticulture; Geosciences; Life Sciences; Veterinary Medicine; Ecology; Agricultural and Food Process Engineering; Food Safety; Pathology and Forensic Medicine; Nutritional Sciences; Microbial Ecology and Applied Microbiology; Plant Science