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Continuous analytics of web streams: Half-day tutorial at the web conference 2019

  • Riccardo Tommasini
  • , Eva Blomqvist
  • , Robin Keskisärkkä
  • , Emanuele Della Valle
  • , Jean Paul Calbimonte
  • , Albert Bifet
  • Politecnico di Milano
  • Linköping University
  • HES-SO
  • CNRS LTCI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This half-day tutorial provides a comprehensive introduction to web stream processing, including the fundamental stream reasoning concepts, as well as an introduction to practical implementations and how to use them in concrete web applications. To this extent, we intend to (1) survey existing research outcomes from Stream Reasoning / RDF Stream Processing that arise in querying, reasoning on and learning from a variety of highly dynamic data, (2) introduce deductive and inductive stream reasoning techniques as powerful tools to use when addressing a data-centric problem characterized both by variety and velocity, (3) present a relevant use-case, which requires to address data velocity and variety simultaneously on the web, and guide the participants in developing a web stream processing application.

Original languageEnglish
Title of host publicationThe Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
PublisherAssociation for Computing Machinery, Inc
Pages1323-1325
Number of pages3
ISBN (Electronic)9781450366755
DOIs
Publication statusPublished - 13 May 2019
Externally publishedYes
Event2019 World Wide Web Conference, WWW 2019 - San Francisco, United States
Duration: 13 May 2019 → 17 May 2019

Publication series

NameThe Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019

Conference

Conference2019 World Wide Web Conference, WWW 2019
Country/TerritoryUnited States
CitySan Francisco
Period13/05/19 → 17/05/19

Keywords

  • RDF Stream Processing
  • Stream Reasoning
  • Web Stream Processing

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