DBpedia Tutorial @ Data Week Leipzig 2024

April 16, 2024
11:00 am CEST
Neues Rathaus/City Hall
Martin-Luther-Ring 4-6

Quick Facts

Registration / Tickets

Get a ticket via the Data Week Leipzig website


“Harnessing the Power of DBpedia: Transforming Data into Knowledge”

In the rapidly evolving digital landscape, the ability to efficiently access, understand, and manipulate data is paramount. DBpedia stands at the forefront of this revolution, offering an unparalleled repository of structured knowledge extracted from Wikipedia, making it an indispensable resource for industry practitioners and technology innovators alike. This workshop is designed to introduce you to the vast capabilities of DBpedia and its suite of technologies that are reshaping how we interact with the world’s knowledge.

DBpedia offers a structured knowledge base derived from Wikipedia – the DBpedia knowledge graph – serving as a critical resource for industries seeking to enhance data analysis, integration, and application development. Over the last 15 years, DBpedia has grown into a huge ecosystem of data and tools that are now accessible via the powerful DBpedia Databus. During the workshop the participants will learn how to navigate and manipulate the DBpedia ecosystem to not only access a global knowledge base but also to enrich their own datasets and applications with semantics and links.

The session aims to equip practitioners with the skills to effectively use DBpedia for enriching their data infrastructure, enabling advanced data interlinking and semantic web applications. Through hands-on examples and industry-focused scenarios, attendees will explore how to extract, manipulate, and leverage linked data from DBpedia to address specific business and research needs. This workshop provides a practical introduction to DBpedia, focusing on its core technologies including RDF data modeling and ontologies, SPARQL querying, entity recognition with DBpedia Spotlight, and RDF conversion techniques. Level: beginner to intermediate. 

Using the DBpedia Databus, we will cover:

  1. Host your own data on the Databus (.txt, .csv, .json, .rdf, .nt)*.
  2. Transform and link your data to RDF.
  3. Build a joint Knowledge Graph combining your data plus DBpedia (plus other Linked Data sets).
  4. Deploy an application on top (Ontology-based search, Triple Store, Graph explorer, etc.).

* Bringing your own data is optional. Data can also be supplied by us.


  • Laptop
  • Docker needs to be installed and running on the laptop.
  • Basic knowledge in a programming or scripting language (e.g. Python, Java, Scala, Bash).
  • Main language is English (but individual help can be provided in German).