Streaming IRIS - Lanzanasto, Norbert
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Mobile devices and sensors of every kind are able to produce live data about their position and measurements about the environment they are deployed. In many cases this data streams are made available on the Internet. Besides the explicit information, these streams contain implicit knowledge. To extract this knowledge a system is needed, that performs reasoning on the data in a continuous way. We present Streaming IRIS, a stream reasoner, capable of running complex reasoning tasks and support for rich background knowledge. Streaming IRIS extends the functionality of the Datalog reasoner IRIS…mehr

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Produktbeschreibung
Mobile devices and sensors of every kind are able to produce live data about their position and measurements about the environment they are deployed. In many cases this data streams are made available on the Internet. Besides the explicit information, these streams contain implicit knowledge. To extract this knowledge a system is needed, that performs reasoning on the data in a continuous way. We present Streaming IRIS, a stream reasoner, capable of running complex reasoning tasks and support for rich background knowledge. Streaming IRIS extends the functionality of the Datalog reasoner IRIS with registration support of continuous queries and the creation of result streams to these queries. With Streaming IRIS we focus on advanced reasoning capabilities, but nevertheless provide a scalable architecture for processing large amount of streamed information.
Autorenporträt
was born in 1985. He graduated in Computer Science at the University of Innsbruck and is currently working at the Semantic Technology Institute (STI) in Innsbruck.