Examinando por Autor "Torres, Diego"
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Acceso Abierto Cientópolis: motorizando la ciencia ciudadana(2017) Torres, Diego; Correa, F.; Marisi, A.; Claramunt, E.; Cepeda, V.; Lus, L.; Ramírez, J.; Pravisani, S.; Díaz, Alicia; Fressoli, M.; Fernández, AlejandroEn ciertas situaciones como la toma, clasificación y etiquetado de muestras, el científico realiza un gran número de tareas simples, repetitivas, que no pueden ser automatizadas y que podrían ser ejecutadas por personas sin formación en la materia si se las entrena y asiste con herramientas. En el pasado, en proyectos de conservación, astronomía y biología, entre otros, este tipo de tareas se ha delegado de manera efectiva a voluntarios. Cuando se convoca a ciudadanos voluntarios para colaborar con los científicos, se habla de ciencia ciudadana. Encontrar e involucrar a esos voluntarios, sumado a coordinar y reconocer su trabajo, es una tarea compleja. Definir y conducir proyectos de ciencia ciudadana presenta desafíos en tres áreas críticas: metodologías, tecnologías y construcción de comunidades de voluntarios. El proyecto Cientópolis (http://cientopolis.org) tiene como objetivo producir avances en estas tres áreas y socializarlos con la comunidad. En la actualidad, Cientópolis brinda espacios para compartir conocimiento y experiencias, ofrece herramientas para la construcción de proyectos de toma de muestras con dispositivos móviles y construcción colaborativa de conocimiento, da acceso a una comunidad creciente de ciudadanos científicos y explora estrategias de ludificación para consolidar y sostener dicha comunidad. - Documento de conferencia
Acceso Abierto Extending RCA algorithm to consider ternary relations(2022) Leutwyler, Nicolás; Lezoche, Mario; Panetto, Hervé; Torres, DiegoRelational Concept Analysis (RCA) is a multirelational data mining method that aims to extract knowledge from multiple formal contexts (i.e., objects, attributes, and a binary relation between them) and the relations between them. One of the problems RCA has is the lack of the possibility of extracting knowledge directly from data that is represented with ternary relations. While there are some existing solutions towards this problem, either they require complex preprocessing of the input data, or they lose some capabilities of RCA such as the different meanings of the relations between concepts (∃, ∀, etc). In this work, we present an intuitive extension to RCA to be able to use it with data directly represented with ternary relations. As an example of its usage, we apply it to a dataset called Knomana which includes ternary relations - 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. - Artículo
Acceso Abierto Wiki support for automated definition of software test cases(2019) Antonelli, Leandro; Hozikian, Mariángeles; Camilleri, Guy; Fernandez, Alejandro; Grigera, Julian; Torres, Diego; Zarate, PascaleThe design of tests is a very important step in the software development process since the set of tests should match the users’ expectations (captured through the requirements) with the finished product (the application) in order to show that the requirements are implemented. Being considered as a cumbersome activity, efforts have been made to automatize and alleviate the burden of test generation, but it is still a largely neglected step. We propose taking advantage of existing requirement artifacts, like Scenarios that describe the dynamic of the domain in a very early stage of software development, to obtain tests from them. In particular, the approach proposed complements the Scenarios that are textually described with a glossary, the Language Extended Lexicon. Thus, a set of rules to derive tests from Scenarios is also proposed. The tests are described using the Task/Method model. The main contributions of this work consist of an extension of a previously presented set of rules, and their implementation in a tool based on a media wiki platform that, through semantic support, makes it possible to record Scenarios and the Language Extended Lexicon to obtain the tests in an automatic way.