Examinando por Autor "Ragout, Carlos Francisco"
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Acceso Abierto MLR-O: Semantic Web Support for Interoperable Food Safety Legislation(2021) Pintor, Carlos Enrique; Ragout, Carlos Francisco; Torres, Diego; Fernández, AlejandroAgrochemical substances and its derivatives are used throughout agricultural processes to control the presence of different types of pests. The MRL (Maximum Residue Limit) is the maximum concentrations of residues (expressed as mg/kg) to be legally permitted in or on a food by national or regional legislation. Governments and Health Organizations throughout the globe determine and publish recommended values of MRL periodically, so that all interested parties (e.i. public health agencies, farmers, researchers, consumer organizations, traders, etc.) are able to adopt this information to conduct safe practices. These values have a significant impact in human health and in international food trade. Given the lack of official or standardized guidelines regarding how this data should be produced and published, organizations around the world use a wide range of methods and supporting media for publishing documents on MRL, involving different formats (e.g. pdf, xml, csv, etc.), content types (tables, graphics, lists, etc.) and language. There is no formal curation process on the data itself to prevent including inaccurate terms, syntax errors, omissions, synonyms and proprietary data structures. The diversity in publication formats makes it difficult to process and analyze the datasets by using computers due to incompatibility issues among documents from different sources, or even between versions of the same document. The Semantic Web offers an alternative to address this interoperability challenge. In this work we apply semantic web technologies and tools to design and create MRL-O, a specific ontology to represent MRL-related data. In building MRL-O we reuse, as much as possible, existing ontologies and vocabularies. As a proof of concept, we present the results of feeding our pipeline with real datasets found in official documents from Argentina and Brazil to obtain MRL-O data, and we run SPARQL queries on the results to derive information of interest in different scenarios. - Documento de conferencia
Acceso Abierto Semantic web for interoperable food safety legislation data: A case study(2021) Pintor, Carlos Enrique; Ragout, Carlos Francisco; Torres, Diego; Fernández, AlejandroFood 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.