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dc.date.accessioned 2021-09-20T16:59:25Z
dc.date.available 2021-09-20T16:59:25Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/125204
dc.description.abstract 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. en
dc.format.extent 75-79 es
dc.language en es
dc.subject Maximum Residue Limits es
dc.subject Agriculture es
dc.subject Health es
dc.subject Regulation es
dc.subject Semantic Web es
dc.subject Linked Open Data es
dc.title Semantic Web for interoperable food safety legislation data en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-2016-4 es
sedici.title.subtitle A case study en
sedici.creator.person Pintor, Carlos Enrique es
sedici.creator.person Ragout, Carlos Francisco es
sedici.creator.person Torres, Diego es
sedici.creator.person Fernández, Alejandro es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2021
sedici.relation.event IX Jornadas de Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 22 al 25 de junio de 2021) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/121564 es
sedici.relation.bookTitle Short papers of the 9th Conference on Cloud Computing Conference, Big Data & Emerging Topics es

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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)