In recent years, RDF event streams have been an increasingly widespread data source in a wide range of domains. Existing systems allow us to automatically record pieces of information concerning everyday fast-paced life. This paper proposes methods of representing and processing RDF streams consisting of RDF graphs with time-varying data annotated by an interval.We introduce a graph-based stream model and a solution for RDF streams processing based on the publishsubscribe interaction scheme. The initial evaluation on our implementation shows that it has great potential.
CITATION STYLE
Tomaszuk, D. (2017). RDF event stream processing based on the publish-subscribe pattern. In Advances in Intelligent Systems and Computing (Vol. 506, pp. 369–378). Springer Verlag. https://doi.org/10.1007/978-3-319-43982-2_32
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