Semantic Web for interoperable food safety legislation data : A case study

Food safety legislation plays a central role in regulating the levels of chemicals used in agriculture practices in order to prevent potential risks to consumers’ health within a certain region or country. Public Health organizations publish these regulations as recommendations on allowed quantities...

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Detalles Bibliográficos
Autores principales: Pintor, Carlos Enrique, Ragout, Carlos Francisco, Torres, Diego, Fernández, Alejandro
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Maximum Residue Limits
Agriculture
Health
Regulation
Semantic Web
Linked Open Data
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/125204
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-125204
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Maximum Residue Limits
Agriculture
Health
Regulation
Semantic Web
Linked Open Data
spellingShingle Ciencias Informáticas
Maximum Residue Limits
Agriculture
Health
Regulation
Semantic Web
Linked Open Data
Pintor, Carlos Enrique
Ragout, Carlos Francisco
Torres, Diego
Fernández, Alejandro
Semantic Web for interoperable food safety legislation data : A case study
topic_facet Ciencias Informáticas
Maximum Residue Limits
Agriculture
Health
Regulation
Semantic Web
Linked Open Data
description Food safety legislation plays a central role in regulating the levels of chemicals used in agriculture practices in order to prevent potential risks to consumers’ health within a certain region or country. Public Health organizations publish these regulations as recommendations on allowed quantities of chemicals residues for different types of crops. These documents pose a major challenge for automatic processing as their format is not normalized nor the terminology used is uniform in any way. Semantic Web technology tools offer a solution as these documents may be published as linked data which would allow computers to process them automatically, so that further analysis and interoperability would be possible. In this paper we introduce MRL-O, an ontology for describing data on allowed levels of residues present in commodities of agricultural origin. MRL-O serves as a standardized framework for sharing interoperable data and to provide tracking metadata about its sources and transformation processes. We also describe a step-by-step procedure to obtain MRL-O linked data from real non-normalized documents. Also, we applied this procedure on data published by Argentina and Brazil with promising results. Consequently, we argue that the proposed ontology is sufficient to model the domain of MRL regulation and serves as the basis for tools that support interoperability in this domain.
format Objeto de conferencia
Objeto de conferencia
author Pintor, Carlos Enrique
Ragout, Carlos Francisco
Torres, Diego
Fernández, Alejandro
author_facet Pintor, Carlos Enrique
Ragout, Carlos Francisco
Torres, Diego
Fernández, Alejandro
author_sort Pintor, Carlos Enrique
title Semantic Web for interoperable food safety legislation data : A case study
title_short Semantic Web for interoperable food safety legislation data : A case study
title_full Semantic Web for interoperable food safety legislation data : A case study
title_fullStr Semantic Web for interoperable food safety legislation data : A case study
title_full_unstemmed Semantic Web for interoperable food safety legislation data : A case study
title_sort semantic web for interoperable food safety legislation data : a case study
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/125204
work_keys_str_mv AT pintorcarlosenrique semanticwebforinteroperablefoodsafetylegislationdataacasestudy
AT ragoutcarlosfrancisco semanticwebforinteroperablefoodsafetylegislationdataacasestudy
AT torresdiego semanticwebforinteroperablefoodsafetylegislationdataacasestudy
AT fernandezalejandro semanticwebforinteroperablefoodsafetylegislationdataacasestudy
bdutipo_str Repositorios
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