Open Cultural Heritage Data in University Programming Courses

  • Tabea TietzEmail author
  • Harald Sack
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)


Cultural heritage data are not only an important research subject for the semantic web community, but also provide interesting material for practical programming courses in universities. In this paper, four projects created by master students at Karlsruhe Institute of Technology (KIT) show how open cultural heritage data can be used to develop creative and ambitious applications which improve the students’ knowledge and experience working with semantic web technologies, linked data, natural language processing techniques and machine learning. Furthermore, challenges and lessons learned are discussed.


Education Cultural heritage Semantic web Linked data Data exploration Machine learning Natural language processing 



We would like to thank all seminar students and tutors, who invested a great amount of work to make each project a successful one, and the Coding da Vinci initiative for providing the extensive amount of data.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Karlsruhe Institute of Technology, Institute AIFBKarlsruheGermany
  2. 2.FIZ Karlsruhe – Leibniz Institute for Information InfrastructureEggenstein-LeopoldshafenGermany

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