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Linked Data & Solid 2023

28 sep. 2023 - 11 jan. 2024

Dive into creating interoperability across multiple servers and organizations, on multiple levels. We will learn how to carefully reuse domain models where possible, and how to define your own terms where necessary, according to the latest state of the art in Linked Data. Solid applies Linked Data on personal data management: instead of having to store user data on your own servers, you can rely on a storage provider that speaks the Solid specification. Challenges that can be solved with Linked Data arise from the moment multiple apps read and write from the same storage. Techniques will be discussed to provide cross-app interoperability across open, shared, as well as personal knowledge graphs.

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Praktische info:

28 sep. 2023 - 11 jan. 2024
37 uur
Ghent University, UGain, Building 60, Technologiepark Zwijnaarde
Engels
Doelgroep: iedereen met goede kennis van computerwetenschappen en interesse voor Linked Data & Solid, en het kunnen toepassen ervan

Inschrijven?

  • Inschrijvingen: tot 27 sep. 2023
  • Voorwaarden: Participants have completed a higher education in computer science or have acquired equivalent experience.
  • Prijs: €2.160
  • Price includes tuition fee and online access to the live sessions and the digital e-learning environment with digital course notes.

  • Required: a recent laptop with at least 4GB of RAM and the following software installed:

    • Node.js, version 16 or higher
    • Java, version 9 or higher
    • Maven
    • Code editor of choice
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georganiseerd door:

moederbord

This course teaches you:

  • A basic understanding of Linked Data
  • A basic understanding of Solid
  • A basic understanding of semantic reasoning and streaming
  • How to publish Linked Data
  • How to set up the Community Solid Server
  • How to create queries over Linked Data
  • How to design and publish Linked Data vocabularies
  • How to generate Linked Data from non-Linked Data using RML.io
  • How to create interoperable Linked Data in Flanders and Europe
  • How to create a Linked Data architecture using Linked Data Fragments and Linked Data Event Streams
  • How to validate Linked Data using SHACL and ShEx
People think RDF is a pain because it is complicated. The truth is even worse. RDF is painfully simplistic, but it allows you to work with real-world data and problems that are horribly complicated. While you can avoid RDF, it is harder to avoid complicated data and complicated computer problems
Dan Brickley and Libby Miller

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