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Semantic interoperability of scientific datasets

Grant number: 19/19389-1
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): March 01, 2020
Effective date (End): February 28, 2021
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Claudia Maria Bauzer Medeiros
Grantee:Thiago Gottardi
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:13/08293-7 - CCES - Center for Computational Engineering and Sciences, AP.CEPID

Abstract

The overwhelming amount of heterogeneous data produced by scientific experimentsrequires appropriate models (and formalisms) suited to express the meaning of data forhumans and machines. Data semantics can play a key role in data exchange acrossscientific repositories. However, there is a lack of techniques to enable semantic retrievaland interoperability of scientific data. The problem concerns creating a set of data structuresand software infrastructure to allow interoperability of distinct data collections available at CCES, generated by its projects and/or used by them. These data are characterized by theirintrinsic heterogeneity, covering many spatio-temporal scales and being related to distinctproblem domains. (AU)