To cite this version:Valérie Guillard, Patrice Buche, Sébastien Destercke, Nouredine Tamani, Madalina Croitoru, et al.. A Decision Support System to design modified atmosphere packaging for fresh produce based on a bipolar flexible querying approach. Computers and Electronics in Agriculture, Elsevier, 2015, 111, pp.131-139. 10.1016/j.compag.2014 the following multi-criteria query for his/her product asking for a pack-32 aging with optimal gas permeabilities that guarantee product quality 33 and optionally a transparent packaging material made from renew-34 able resources with a cost for raw material less than 3 e/ kg. To handles imprecise, uncertain and missing data stored in the database.
43We detail its operational functioning through a real life case study to 44 determine the most satisfactory materials for apricots packaging.
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This dataset is composed of symbolic and quantitative entities concerning food packaging composition and gas permeability. It was created from 50 scientific articles in English registered in html format from several international journals on the ScienceDirect website. The files were annotated independently by three experts on a WebAnno server. The aim of the annotation task was to recognize all entities related to packaging permeability measures and packaging composition. This annotation task is driven by an Ontological and Terminological Resource (OTR). An annotation guideline was designed in a collective and iterative approach involving the annotators. This dataset can be used to train or evaluate natural language processing (NLP) approaches in experimental fields, such as specialized entity recognition (e.g. terms and variations, units of measure, complex numerical values) or sentence level binary relation (e.g. value to unit, term to acronym).
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