Towards Efficient Processing of RDF Data Streams

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
In the last years, there has been an increase in the amount of real-time data generated. Sensors attached to things are transforming how people interact with the environment. Extracting meaningful information from these streams of data is essential for some application areas and requires processing systems that scale to varying conditions in data sources, complex queries, and system failures. This paper describes ongoing research on the development of a scalable RDF (Resource Description Framework) streaming engine.
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