Big Data and Cognitive Computing (Jul 2023)

EnviroStream: A Stream Reasoning Benchmark for Environmental and Climate Monitoring

  • Elena Mastria,
  • Francesco Pacenza,
  • Jessica Zangari,
  • Francesco Calimeri,
  • Simona Perri,
  • Giorgio Terracina

DOI
https://doi.org/10.3390/bdcc7030135
Journal volume & issue
Vol. 7, no. 3
p. 135

Abstract

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Stream Reasoning (SR) focuses on developing advanced approaches for applying inference to dynamic data streams; it has become increasingly relevant in various application scenarios such as IoT, Smart Cities, Emergency Management, and Healthcare, despite being a relatively new field of research. The current lack of standardized formalisms and benchmarks has been hindering the comparison between different SR approaches. We proposed a new benchmark, called EnviroStream, for evaluating SR systems on weather and environmental data. The benchmark includes queries and datasets of different sizes. We adopted I-DLV-sr, a recently released SR system based on Answer Set Programming, as a baseline for query modelling and experimentation. We also showcased continuous online reasoning via a web application.

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