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A metadata model for interoperability of agricultural databases

Grant number: 21/15125-0
Support Opportunities:Scholarships in Brazil - Doctorate
Start date: March 01, 2022
End date: May 31, 2025
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Agreement: IBM Brasil
Principal Investigator:Antonio Mauro Saraiva
Grantee:Filipi Miranda Soares
Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Company:Universidade de São Paulo (USP). Centro de Inovação da USP (INOVA)
Associated research grant:19/07665-4 - Center for Artificial Intelligence, AP.eScience.CPE
Associated scholarship(s):22/08385-8 - A framework for the semantic interoperability of datasets: a case study in agriculture, BE.EP.DR

Abstract

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 between different agricultural database metadata schemes. In the last stage of the research, the proposed metadata model will be challenged in another field of agricultural data -hunger and nutrition-through the incremental model. Finally, it is expected to create a useful metadata model for the integration of agricultural data that meets the purposes of the Center for Artificial Intelligence (C4AI), AgriBio challenge, and that meets the FAIR principles and the goals of the Open Government Program, coordinated by the Controladoria-Geral da União (CGU). (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SOARES, FILIPI MIRANDA; SARAIVA, ANTONIO MAURO; PIRES, LUIS FERREIRA; SANTOS, LUIZ OLAVO BONINO DA SILVA; MOREIRA, DILVAN DE ABREU; CORREA, FERNANDO ELIAS; BRAGHETTO, KELLY ROSA; DRUCKER, DEBORA PIGNATARI; DELBEM, ALEXANDRE CLAUDIO BOTAZZO. Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development. DATA INTELLIGENCE, v. 7, n. 2, p. 38-pg., . (22/08385-8, 19/07665-4, 23/00779-0, 21/15125-0)
SOARES, FILIPI MIRANDA; PIRES, LUIS FERREIRA; GARCIA, MARIA CAROLINA; CORADIN, LIDIO; GHILARDI-LOPES, NATALIA PIRANI; SILVA, RUBENS RANGEL; CARVALHO, ALINE MARTINS DE; GAVAI, ANAND; BOUZEMBRAK, YAMINE; MACULAN, BENILDES COURA MOREIRA DOS SANTOS; et al. Citizen science data on urban forageable plants: a case study in Brazil. GIGABYTE, v. 2024, p. 16-pg., . (21/15125-0, 19/26760-8, 22/08385-8, 18/14994-1)
SOARES, FILIPI MIRANDA; SARAIVA, ANTONIO MAURO; PIRES, LUIS FERREIRA; DRUCKER, DEBORA PIGNATARI; BRAGHETTO, KELLY ROSA; SANTOS, LUIZ OLAVO BONINO DA SILVA; MOREIRA, DILVAN DE ABREU; CORREA, FERNANDO ELIAS; DELBEM, ALEXANDRE CLAUDIO BOTAZZO. A Novel UX-Based Approach for Ontology Evaluation: Applying Tree Testing to the Agricultural Product Types Ontology. IEEE ACCESS, v. 13, p. 19-pg., . (19/07665-4, 22/08385-8, 23/00779-0, 21/15125-0)
SOARES, FILIPI MIRANDA; PIRES, LUIS FERREIRA; GARCIA, MARIA CAROLINA; BOUZEMBRAK, YAMINE; CORADIN, LIDIO; GHILARDI-LOPES, NATALIA PIRANI; SILVA, RUBENS RANGEL; DE CARVALHO, ALINE MARTINS; MACULAN, BENILDES COURA MOREIRA DOS SANTOS; KOFFLER, SHEINA; et al. Leveraging citizen science for monitoring urban forageable plants. GIGASCIENCE, v. 13, p. 3-pg., . (19/26760-8, 22/08385-8, 21/15125-0, 18/14994-1)