A termino-ontological resource to compare ligno-cellulosic biomass and agro-waste valorisation routes

Amélie Breysse 1 Abdellatif Barakat 1 Helene Angellier-Coussy 1 Claire Mayer-Laigle 1 Patrice Buche 1, 2
1 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Lignocellulosic biomass and agro-waste valorization routes are two of the promising methods towards a more sustainable bio-economy. Scientific literature in this domain is increasing fast and could be a valuable source of data. As these abundant scientific data are mostly in textual format and heterogeneously structured, using them to compute biomass treatment efficiency is not straightforward. The implementation of a Decision Support System (DSS) based on an original pipeline coupling knowledge management (KM) based on semantic web technologies, soft computing techniques and environmental factor computation has been already done for lignocellulosic biomass valorization routes into glucose [Lousteau-Cazalet et al. 2016]. The DSS allows using data found in the literature to assess environmental sustainability of biorefinery systems. The pipeline permits to: (1) structure and integrate relevant experimental data, (2) assess data source reliability [Destercke et al. 2013], (3) compute and visualize green indicators taking into account data imprecision and source reliability. This pipeline has been made possible thanks to innovative researches in the coupling of ontologies, uncertainty management and propagation. In this first version, data acquisition is done by experts and facilitated by a Termino-Ontological Resource (TOR) called Biorefinery and available at http://www6.inra.fr/cati-icatatweb/ Ontologies/Biorefinery. Data source reliability assessment is based on domain knowledge and done by experts. The operational prototype has been used by field experts on realistic use cases (glucose extraction for biofuel production [Licari et al. 2016]). The obtained results have validated the usefulness of the system.
Keywords : system performance and environmental impact assessment knowledge management Web of data data standard in agriculture France reliability and uncertainty assessment uncertainty management
Type de document :
Communication dans un congrès
EFITA WCCA 2017 Conference, Jul 2017, Montpellier, France
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01651974
Contributeur : Patrice Buche <>
Soumis le : mercredi 29 novembre 2017 - 17:45:46
Dernière modification le : vendredi 26 octobre 2018 - 16:38:54

Fichier

EFITA-Full-paper_79_CIGR_Archi...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : lirmm-01651974, version 1

Collections

LIRMM | INRA | GRAPHIK | INRIA | CIRAD | INRIA2017 | MIPS | BA | UNIV-MONTPELLIER

Citation

Amélie Breysse, Abdellatif Barakat, Helene Angellier-Coussy, Claire Mayer-Laigle, Patrice Buche. A termino-ontological resource to compare ligno-cellulosic biomass and agro-waste valorisation routes. EFITA WCCA 2017 Conference, Jul 2017, Montpellier, France. 〈lirmm-01651974〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

520

Téléchargements de fichiers

85

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD