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DBpedia Knowledge Graph Tutorial for Beginners

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About this talk

Description

DBpedia is a crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects. This structured information resembles an open knowledge graph, the DBpedia Knowledge Graph, which is publicly available for everyone on the Web. The DBpedia Knowledge Graph has been under development for many years and is being improved to this day.

Working and consuming such a large scale dataset has often proven to be a messy and difficult process.

In this masterclass, participants will learn how to consume the DBpedia knowledge graph with the least amount of effort. The masterclass will introduce the DBpedia Knowledge Graph and explain its dataset partitions.

Particular focus will be put on “usability”, i.e. how to consume the DBpedia KG and how to deploy DBpedia on your local infrastructure. On a selected use case, we will explain the process of working with DBpedia KG and DBpedia technology stack (DBpedia Databus,DBpedia Spotlight, DBpedia Docker) and illustrate the potential and the benefits of using DBpedia.

Key Topics

  • DBpedia KG in the Nutshell
  • Querying and consuming the DBpedia KG
  • DBpedia on your local infrastructure
  • Use Case: Semantic Indexing and Search using the DBpedia technology stack

Target Audience

  • DBpedia newbies and beginners that wish to learn about the DBpedia Knowledge Graph
  • Developers that wish to learn how to replicate and deploy DBpedia on a local infrastructure
  • Linked Data and Knowledge Graph adopters
  • Active stakeholders of DBpedia
  • Tech-savvy developers and users of DBpedia

Goals

Get hands-on experience using the DBpedia Knowledge Graph.

Session outline:

  • (25 mins) DBpedia KG in the Nutshell
  • (15 mins) Querying the DBpedia KG
  • (20 mins) DBpedia on your local infrastructure
  • (5-10 mins) Q&A/break
  • (50 mins) Use Case: Semantic Indexing and Search using the DBpedia technology stack
  • (10 mins) Wrap-up and Q&A

Format

  • The masterclass will consist of slide presentations for the general overview, which will be accompanied throughout simple use-cases to showcase the technology.
  • In a hands-on session,participants will try out and get familiar with the particular DBpedia technologies and understand the benefits of it.
  • All the examples at the hands-on session will be developed in a way so that every participant can try and perform the task with a minimal amount of effort.
  • The class will be highly collaborative and interactive.

Level

Intermediate

Prerequisite Knowledge

Nice to have some background knowledge on: - Semantic Web concepts (SPARQL, RDF) - Web Architecture (HTTP, URI) - Programming skills: bash, Docker

If you like what our project does but are still new to DBpedia there are a few articles that can help you get started: - Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, Christian Bizer. 2021. DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia - Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, and Sebastian Hellmann. 2009. DBpedia - A crystallization point for the Web of Data. Journal of Web Semantics, Volume 7, Issue 3 (September, 2009), 154–165. DOI:https://doi.org/10.1016/j.websem.2009.07.002 - Mohamed Morsey, Jens Lehmann, Sören Auer, Claus Stadler, Sebastian Hellmann (2012). DBpedia and the live extraction of structured data from Wikipedia. Program: electronic library and information systems, Vol. 46 Iss: 2, pp.157 – 18. - Frey J., Hofer M., Obraczka D., Lehmann J., Hellmann S. (2019) DBpedia FlexiFusion the Best of Wikipedia > Wikidata > Your Data. In: Ghidini C. et al. (eds) The Semantic Web – ISWC 2019. ISWC 2019. Lecture Notes in Computer Science, vol 11779. Springer, Cham. https://doi.org/10.1007/978-3-030-30796-7_7

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Milan Dojchinovski

Milan holds a Research Associate position at the Institute for Applied Informatics (InfAI) and an Assistant Professor position at the CTU in Prague. He has 10+ years experience in the computer industry in Germany, Czech Republic and Slovenia. His research interests are in Semantic Web, NLP and Knowledge Graph technologies.

Jan Forberg

Jan is a full stack developer at the KILT Competence Center at the Institute for Applied Informatics. Since 2016 he has been involved in DBpedia and contributed to the development of the DBpedia Databus, Dockerized DBpedia and DBpedia Lookup. Jan has been part of the core organization team of the online series of DBpedia tutorials organized in 2020 and 2021.

Johannes Frey

Johannes is Research Assistant at the KILT Competence Center at the Institute for Applied Informatics. He is also a PhD student at Leipzig University working on research related to knowledge extraction, integration and fusion.

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