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A Use Case of Data Integration in Food Production

Title: A Use Case of Data Integration in Food Production
Authors: Ibanescu, Liliana; Allard, Thomas; Dervaux, Stéphane; Dibie-Barthelemy, Juliette; Guichard, Elisabeth; Pénicaud, Caroline; Raad, Joe
Contributors: Mathématiques et Informatique Appliquées (MIA-Paris); Institut National de la Recherche Agronomique (INRA)-AgroParisTech; Centre des Sciences du Goût et de l'Alimentation Dijon (CSGA); Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS); Génie et Microbiologie des Procédés Alimentaires (GMPA); This work was supported by the Qualiment Carnot Institute of the French National; Research Agency through the NutriSensAl project (grant number 16CARN002601) and by the Saclay Data Center through the LIONES project.
Source: 21st International Conference on Knowledge Engineering and Knowledge Management, EKAW; https://agroparistech.hal.science/hal-01924171; 21st International Conference on Knowledge Engineering and Knowledge Management, EKAW, Nov 2018, Nancy, France
Publisher Information: CCSD
Publication Year: 2018
Subject Terms: process representation; experimental observations represen- tation; food science; ontology based data integration; ACM: H.: Information Systems; ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrieval; [INFO]Computer Science [cs]; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-WB]Computer Science [cs]/Web
Subject Geographic: Nancy; France
Description: International audience ; This paper presents a use case about knowledge representation and integration of data from different domains in food science. An ontology named PO 2 DG, the Process and Observation Ontology for the production of Dairy Gels, has been designed in order to provide a shared vocabulary for domain experts. The available data have been semantically structured using PO 2 DG and are stored in an RDF repository named PO 2 DG dataset. This use case identifies some of the challenges when dealing with a multi domain representation problem, gives some hints about possible solutions and suggests some further work.
Document Type: conference object; still image
Language: English
Relation: PRODINRA: 458416
Availability: https://agroparistech.hal.science/hal-01924171
Accession Number: edsbas.20BA3D26
Database: BASE