Scientific Results

  • ID:
    publications-2226
  • Type:
    Peer reviewed articles
  • Year:
    2018
  • Authors:
    Luca Roffia, Paolo Azzoni, Cristiano Aguzzi, Fabio Viola, Francesco Antoniazzi, Tullio Salmon Cinotti
  • Title:
    Dynamic Linked Data: A SPARQL Event Processing Architecture
  • Venue/Journal:
    Future Internet
  • DOI:
    10.3390/fi10040036
  • Research type:
    Uncategorized
  • Water System:
    Precipitation & Ecological Systems
  • Technical Focus:
  • Abstract:
    This paper presents a decentralized Web-based architecture designed to support the development of distributed, dynamic, context-aware and interoperable services and applications. The architecture enables the detection and notification of changes over the Web of Data by means of a content-based publish-subscribe mechanism where the W3C SPARQL 1.1 Update and Query languages are fully supported and used respectively by publishers and subscribers. The architecture is built on top of the W3C SPARQL 1.1 Protocol and introduces the SPARQL 1.1 Secure Event protocol and the SPARQL 1.1 Subscribe Language as a means for conveying and expressing subscription requests and notifications. The reference implementation of the architecture offers to developers a design pattern for a modular, scalable and effective application development.
  • Link with Projects:
    777112
  • Link with Tools:
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