International Provenance and Annotation Workshop

IPAW 2014: Provenance and Annotation of Data and Processes pp 267-270 | Cite as

Using Well-Founded Provenance Ontologies to Query Meteorological Data

  • Thiago Silva Barbosa
  • Ednaldo O. Santos
  • Gustavo B. Lyra
  • Sérgio Manuel Serra da Cruz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8628)

Abstract

The analysis of increasing flow of data about Tropical rainfall is a big challenge faced by meteorologists. This work presents an approach to pre-process, organize and query high quality meteorological data. Thus, we present a semantic approach that uses well-founded ontologies that help meteorologists to develop SPARQL queries that navigate over high quality data and provenance metadata collected during the execution meteorological in silico experiments.

Keywords

Provenance Foundational ontology Meteorology 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Thiago Silva Barbosa
    • 1
  • Ednaldo O. Santos
    • 1
  • Gustavo B. Lyra
    • 1
  • Sérgio Manuel Serra da Cruz
    • 1
    • 2
    • 3
  1. 1.UFRRJ – Universidade Federal Rural do Rio de JaneiroSeropédicaBrazil
  2. 2.PPGMMC/UFRRJ – Programa de Pós Graduação Modelagem Matemática e ComputacionalSeropédicaBrazil
  3. 3.PET-SI/UFRRJ – Programa de Educação Tutorial - Sistemas de InformaçãoSeropédicaBrazil

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