TripleWave: Spreading RDF Streams on the Web

  • Andrea Mauri
  • Jean-Paul Calbimonte
  • Daniele Dell’Aglio
  • Marco Balduini
  • Marco Brambilla
  • Emanuele Della Valle
  • Karl Aberer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9982)

Abstract

Processing data streams is increasingly gaining momentum, given the need to process these flows of information in real-time and at Web scale. In this context, RDF Stream Processing (RSP) and Stream Reasoning (SR) have emerged as solutions to combine semantic technologies with stream and event processing techniques. Research in these areas has proposed an ecosystem of solutions to query, reason and perform real-time processing over heterogeneous and distributed data streams on the Web. However, so far one basic building block has been missing: a mechanism to disseminate and exchange RDF streams on the Web. In this work we close this gap, proposing TripleWave, a reusable and generic tool that enables the publication of RDF streams on the Web. The features of TripleWave were selected based on requirements of real use-cases, and support a diverse set of scenarios, independent of any specific RSP implementation. TripleWave can be fed with existing Web streams (e.g. Twitter and Wikipedia streams) or time-annotated RDF datasets (e.g. the Linked Sensor Data dataset). It can be invoked through both pull- and push-based mechanisms, thus enabling RSP engines to automatically register and receive data from TripleWave.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Andrea Mauri
    • 1
  • Jean-Paul Calbimonte
    • 2
    • 3
  • Daniele Dell’Aglio
    • 1
  • Marco Balduini
    • 1
  • Marco Brambilla
    • 1
  • Emanuele Della Valle
    • 1
  • Karl Aberer
    • 2
  1. 1.DEIB, Politecnico di MilanoMilanItaly
  2. 2.EPFLLausanneSwitzerland
  3. 3.HES-SO ValaisSierreSwitzerland

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