Capex ontology

DOI

In many agri-food chains, the food quality is often managed using the know-how based on the experience. The global quality enhancement may come from the sharing of the collective know-how. Capex ontology has been designed as a core ontology to represent potential causal relationships between situations of interest which permit to link a quality/default to an action to maintain/solve it. Current version is expressed using the Conceptual Graph ontological formalism. It will be expressed in OWL/RDF in the very next future. Current applications concern food processing but this core ontology may be used in any production sector.

Core ontology of CoGui Capex, decision support system tool designed to recommend an action to maintain/correct a quality/default in a food process.

Identifier
DOI https://doi.org/10.15454/9Z4PS3
Related Identifier IsCitedBy https://doi.org/10.1016/j.compag.2019.05.052
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/9Z4PS3
Provenance
Creator Buche, Patrice ORCID logo; Cuq, Bernard; Fortin, Jérôme; Sipitier, Clément
Publisher Recherche Data Gouv
Contributor Buche, Patrice
Publication Year 2019
Funding Reference French Ministry of Agriculture
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Buche, Patrice (INRAE - Institut National de la Recherche Agronomique)
Representation
Resource Type Model; Dataset
Format application/octet-stream
Size 27669
Version 1.3
Discipline Agriculture, Forestry, Horticulture; Chemistry; Computer Science; Engineering Sciences; Information Science; Agricultural and Food Process Engineering; Engineering; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Computer Science, Electrical and System Engineering; Construction Engineering and Architecture; Life Sciences; Materials Science and Engineering; Natural Sciences