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Conference papers
A termino-ontological resource to compare ligno-cellulosic biomass and agro-waste valorisation routes
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.
Cited literature [7 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01651974
Contributor : Patrice Buche <>
Submitted on : Wednesday, November 29, 2017 - 5:45:46 PM
Last modification on : Thursday, December 17, 2020 - 2:54:05 PM
Contributor : Patrice Buche <>
Submitted on : Wednesday, November 29, 2017 - 5:45:46 PM
Last modification on : Thursday, December 17, 2020 - 2:54:05 PM
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