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.

Engineering of web stream processing applications

Della Valle E.;Tommasini R.;Balduini M.
2018

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.
Reasoning Web. Learning, Uncertainty, Streaming, and Scalability. Reasoning Web 2018
978-3-030-00337-1
978-3-030-00338-8
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1099166
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