Linked Open Data

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.

• Working with Named Places: How and Why to Build a Gazetteer

  EN

  A digital gazetteer records information associated with specific places. This lesson teaches you how to create a gazetteer from a historical text, using the Linked Places Delimited (LP-TSV) format.

• Semantic Web and AI for Digital Humanities

  EN

  This short video introduces the work carried out as part of the DARIAH-FI initiative in Finland on creating a “Sampo series” Linked Open Data (LOD) services and semantic portals on top of them for Digital Humanities research. These systems have had up to millions of end users, which demonstrates the usability of the infrastructure and LOD-based approach used.

• 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.