CV Lattes
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Universidade de São Paulo (USP). Escola Politécnica (EP) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Ph.D. in Computer Engineering from the Graduate Program in Electrical Engineering (PPGEE) at the Polytechnic School of the University of São Paulo.Ph.D. candidate in Computer Science and Engineering at the University of Twente, Netherlands.Holds a Master's degree in Knowledge Management and Organization (Information Science) and a Bachelor's degree in Library Science from UFMG.Completed an international academic exchange in the program Documentation and Information Sciences and Technologies at the Polytechnic Institute of Porto, Portugal (20162017).Currently a researcher at the Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA) department, part of Institut Agro Montpellier (INRAE), France.Has interest and experience in topics related to linked open data, controlled vocabularies, semantic web, metadata schemas, scientific data management and FAIR principles, User Experience (UX), UX Writing, and information architecture, particularly within the domains of agriculture and biodiversity. (Source: Lattes Curriculum)
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This project deals with the development of metadata models for the interoperability of databases in the agricultural field, having as a sample subdomain the data of agricultural commodities. To achieve the research objective, the research methods will be guided by the principles of ISO/IEC 11179 for creating metadata repositories and other literature models for creating a crosswalk betwee…
One of the main characteristics of the big data paradigm is the unstructured way in which data are published. Big data applications have great potential to be used in digital agriculture, but one may find it difficult to work with unstructured data since most datasets do not provide an accurate description of the data semantics, hampering interpretation and reuse. Consequently, semantic i…
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