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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.
Get hands-on experience using the DBpedia Knowledge Graph.
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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