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Strider R: Massive and Distributed RDF Graph Stream Reasoning
Abstract : Reasoning over semantically annotated data is an emerging trend in stream processing aiming to produce sound and complete answers to a set of continuous queries. It usually comes at the cost of finding a trade-off between data throughput and the cost of expressive inferences. Strider R proposes such a trade-off and combines a scalable RDF stream processing engine with an efficient reasoning system. The main reasoning tasks are based on a query rewriting approach for SPARQL that benefits from an intelligent encoding of an extension of the RDFS (i.e., RDFS with owl:sameAs) ontology elements. Strider R runs in production at a major international water management company to detect anomalies from sensor streams. The system is evaluated along different dimensions and over multiple datasets to emphasize its performance.
https://hal.sorbonne-universite.fr/hal-01657494
Contributor : Hubert Naacke <>
Submitted on : Wednesday, December 6, 2017 - 5:56:44 PM
Last modification on : Wednesday, February 26, 2020 - 7:06:07 PM
Contributor : Hubert Naacke <>
Submitted on : Wednesday, December 6, 2017 - 5:56:44 PM
Last modification on : Wednesday, February 26, 2020 - 7:06:07 PM
