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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorAZZI, Rabia
dc.contributor.authorDESPRES, S
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDIALLO, Abdourahmane Gayo
ORCID: 0000-0002-9799-9484
IDREF: 112800084
dc.contributor.editorRocha, Á
dc.contributor.editorAdeli, H
dc.contributor.editorReis, L P
dc.contributor.editorCostanzo, S
dc.contributor.editorOrovic, I
dc.contributor.editorMoreira, F
dc.date.accessioned2021-01-13T11:22:12Z
dc.date.available2021-01-13T11:22:12Z
dc.date.issued2020
dc.identifier.isbn978-3-030-45688-7en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/23787
dc.description.abstractEnThe proliferation of recipes and other food information on the Web makes it difficult to identify recipes and foods for people who want to eat healthily. There are various tools related to calculating recipes nutritional values (NVs) but often the results obtained for the same recipe are varied. In this article we present NutriSem, a framework which allows automating the nutritional qualification of cooking recipes. It consists of four steps: (i) lexical enrichment of terms denoting ingredients; (ii) generating of nutritional calculus from lexical pattern and composition table requests; (iii) calculation and allocation of the final score; (iv) translation of the calculated score into a graphical scale. The core of the approach is based on mappings established between text corpora (cooking recipes) and structured data (food composition tables). A Knowledge Graph resource is used to enhance the quality of the mappings and therefore allow a better nutritional qualification of a given recipe.
dc.language.isoENen_US
dc.publisherSpringeren_US
dc.source.titleTrends and Innovations in Information Systems and Technologies WorldCIST 2020.en_US
dc.subjectERIAS
dc.title.enNutriSem: A Semantics-Driven Approach to Calculating Nutritional Value of Recipes
dc.typeChapitre d'ouvrageen_US
dc.identifier.doi10.1007/978-3-030-45688-7_20en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.page191-201en_US
bordeaux.volume1159en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamERIASen_US
bordeaux.inpressnonen_US
hal.exportfalse
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Trends%20and%20Innovations%20in%20Information%20Systems%20and%20Technologies%20WorldCIST%202020.&rft.date=2020&rft.volume=1159&rft.spage=191-201&rft.epage=191-201&rft.au=AZZI,%20Rabia&DESPRES,%20S&DIALLO,%20Abdourahmane%20Gayo&rft.isbn=978-3-030-45688-7&rft.genre=unknown


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