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Linked Open Data

Linked Open Data is a way of publishing structured data that allows linking to other related resources.

Resources

  • ExploreCor - Using Programmable Corpora in Computational Literary Studies

    EN
    This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.
    Authors
    • Julia Jennifer Beine
    • Ingo Börner
    • Floor Buschenhenke
  • Introduction to Linked Open Data

    EN
    This resource provides an introduction to Linked Open Data and SPARQL. It explains how LOD is used to publish structured data on the web and basic concepts like RDF, ontologies and using URIs. Practical exercises using SPARQL queries and SPARQL endpoints in the SPARQL playground and the CLSCor Catalogue complete the course.
    Authors
    • Katharina Wünsche