Ruprecht-Karls-Universität Heidelberg
Institut für Computerlinguistik

Bilder vom Neuenheimer Feld, Heidelberg und der Universität Heidelberg

Foundations of Linked Data

Module Description

Course Module Abbreviation Credit Points
BA-2010[100%|75%] CS-CL 6 LP
BA-2010[50%] BS-CL 6 LP
BA-2010[25%] BS-AC 4 LP
Lecturer Maribel Acosta Deibe
Maria Koutraki
Module Type Vorlesung
Language English
First Session 10.02.2020
Last Session 14.02.2020
Time and Place daily, 09:00-17:00,
INF 327 / SR 4
End of Commitment Period 14.02.2020


written exam (60 minutes)


The Linked Data principles are a set of practices for publishing knowledge graphs on the web. Linked Data builds on the web architecture and uses HTTP for data access, and RDF for describing data, thus aiming towards web-scale data integration. There is a vast amount of data available published according to those principles: recently, 4.5 billion facts have been counted with information about various domains, including music, movies, geography, natural sciences. A selection of the available knowledge graphs is available at . Linked Data is also used to make web-pages machine-understandable, corresponding annotations are considered by the big search engine providers.

The lecture combines techniques from different areas, such as databases and artificial intelligence, adapted for use on the web.

The lecture covers foundational techniques to access, process and integrate data, both from a theoretical and practical perspective using the recommendations by the World Wide Web Consortium. The lecture sets out with a history of hypertext systems, followed from an introduction to web architecture and knowledge representation, including algorithms for query evaluation and deductive reasoning.

The lecture closes with a discussion about current opportunities and challenges of applying Linked Data technologies together with natural language processing techniques.

Module Overview


Date Session Materials


  • Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, York Sure. Semantic Web - Grundlagen. Springer, 2008.
  • Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph. Foundations of Semantic Web Technologies. Chapman & Hall/CRC, 2009
  • Tom Heath, Christian Bizer. Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool, 2011.
  • Dean Allemang. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann, 2008.
  • Tim Berners-Lee. Weaving the Web. Harper, 1999

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