Abstract
The goal of the tutorial is to outline how to develop and deploy a stream processing application in a Web environment in a reproducible way. To this extent, we intend to (1) survey existing research outcomes from the Stream Reasoning/RDF Stream Processing that arise in querying and reasoning on a variety of highly dynamic data, (2) introduce stream reasoning techniques as powerful tools to use when addressing a data-centric problem characterized both by variety and velocity (such as those typically found on the modern Web), (3) present a relevant Web-centric use-case that requires to address simultaneously data velocity and variety, and (4) guide the participants through the development of a Web stream processing application.
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Della Valle, E., Tommasini, R., Balduini, M. (2018). Engineering of Web Stream Processing Applications. In: d’Amato, C., Theobald, M. (eds) Reasoning Web. Learning, Uncertainty, Streaming, and Scalability. Reasoning Web 2018. Lecture Notes in Computer Science(), vol 11078. Springer, Cham. https://doi.org/10.1007/978-3-030-00338-8_8
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