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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Stream reasoning: A survey and outlook : A summary of ten years of research and a vision for the next decade
Organization Unit
Authors
  • Daniele Dell' Aglio
  • Emanuele Della Valle
  • Frank van Harmelen
  • Abraham Bernstein
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Data Science
Publisher I O S Press
Geographical Reach international
ISSN 2451-8484
Volume 1
Number 1-2
Page Range 59 - 83
Date 2017
Abstract Text Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and in this article we analyse its growth. In the first part, we trace the main results obtained so far, by presenting the most prominent studies. We start by an overview of the most relevant studies developed in the context of semantic web, and then we extend the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: in the second part, we present a set of open challenges and issues that stream reasoning will face in the next future.
Free access at DOI
Digital Object Identifier 10.3233/DS-170006
Other Identification Number merlin-id:15241
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