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Using Well-Founded Provenance Ontologies to Query Meteorological Data

This research addresses the challenge of querying extensive meteorological data driven by extreme hydrometeorological events. Meteorologists face hurdles in constructing SPARQL queries due to the complexity of dealing with ontology classes and provenance metadata. Our goal is to present an approach utilizing well-founded ontologies and provenance management techniques, enabling researchers to investigate erroneous values in meteorological data pre-processing. By employing an OntoUML model and the Open proVenance Ontology, we develop a web-based tool that facilitates graphical query construction without requiring SPARQL syntax knowledge.

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Using Well-Founded Provenance Ontologies to Query Meteorological Data

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  1. LabData Using Well-Founded Provenance Ontologies to Query Meteorological Data Thiago Marcos da Silva Barbosa, Ednaldo O. Santos, Gustavo B. Lyra,Sérgio Manuel Serra da Cruz Federal Rural Universityof Rio de Janeiro DatabaseLab

  2. WhyMeteorology? • PROBLEM: • The investigation of extreme hydrometeorological events requires lots of data from sensors huge data bases. • It is not trivial for meteorologists to create SPARQL queries that involve meteorological data, provenance metadata and also ontology classes. • GOAL: Presentan approach that uses well-foundedontologiesandprovenance management techniques to aidresearchers to investigatethe cause oferroneousvaluesdetectedatanypointofthepre-processingchainofmeteorological data. • Letthemeteorologists to createsimplequeriesevenwithoutknowingthesyntaxofthe SPARQL language.

  3. How? • Using: • Ontologicallywell-founded UML modelingprofile (OntoUML). A profile to developwell-foundedontologiesthatreflectsthestructureandaxiomatizationofUnifiedFoundationOntology (UFO) (Guizzard, 2005). • Open proVenanceOntology (OvO) (Cruz, 2012) to modelMeteoro ontology. • Developing: • A web-basedtoolthatallowstheresearches to navigatethroughtheconceptsandproperties, andgraphicallydevelopsimplequeriesbyselectingfeatureslikeontologyclass, object, propertiesandvalues to besearched.

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