ARTÍCULO
TITULO

EnviroStream: A Stream Reasoning Benchmark for Environmental and Climate Monitoring

Elena Mastria    
Francesco Pacenza    
Jessica Zangari    
Francesco Calimeri    
Simona Perri and Giorgio Terracina    

Resumen

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.

PÁGINAS
pp. 0 - 0
MATERIAS
INFRAESTRUCTURA
REVISTAS SIMILARES
Future Internet

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