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German Tourism Knowledge Graph

  • Conference paper
  • First Online:
The Semantic Web: ESWC 2024 Satellite Events (ESWC 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15344))

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Abstract

Tourism is one of the most critical sectors of the global economy. Due to its heterogeneous and fragmented nature, it provides one of the most suitable use cases for knowledge graphs. In this poster, we introduce the German Tourism Knowledge Graph that integrates tourism-related data from 16 federal states of Germany and various other sources to provide a curated knowledge source for various applications. It is publicly available through GUIs and an API.

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Notes

  1. 1.

    In German, Deutsche Zentrale für Tourismus. https://germany.travel.

  2. 2.

    These are agencies that promote tourism in their regions.

  3. 3.

    https://onlim.com.

  4. 4.

    https://open-data-germany.org/en/open-data-germany/.

  5. 5.

    The list of domain specifications currently used by GTKG can be found here: https://semantify.it/list/LRVOilZZ6. There was a new release of ODTA domain specifications in February 2024 (https://odta.sti2.org/) and the migration process is still ongoing.

  6. 6.

    See https://semantify.it/list/LRVOilZZ6 for the domain specifications based on these types.

  7. 7.

    schema is the prefix for schema.org namespace. odta is the prefix for https://odta.io/voc/ namespace that represents newly created types and properties. Instance counts are result of the query here: https://purl.archive.org/gtkg/queries.

  8. 8.

    https://ladestationen.api.bund.dev/.

  9. 9.

    https://www.opendata-oepnv.de/.

  10. 10.

    See https://purl.archive.org/gtkg/api-doc for a comprehensive documentation.

  11. 11.

    https://purl.archive.org/gtkg/access.

  12. 12.

    Currently being tested on a subset of GTKG https://purl.archive.org/gtkg/search.

  13. 13.

    https://de.linkedin.com/posts/german-national-tourist-board_kollaboration-innovation-dzt-activity-7132391151659016192-k5hW.

References

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Author information

Authors and Affiliations

  1. STI Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

    Umutcan Serles & Dieter Fensel

  2. Onlim GmbH, Vienna, Austria

    Umutcan Serles & Elias Kärle

  3. German National Tourist Board, Frankfurt, Germany

    Richard Hunkel

Authors
  1. Umutcan Serles
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  2. Elias Kärle
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  3. Richard Hunkel
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  4. Dieter Fensel
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Corresponding author

Correspondence to Umutcan Serles .

Editor information

Editors and Affiliations

  1. King’s College London, London, UK

    Albert Meroño Peñuela

  2. Universidad Politécnica de Madrid, Madrid, Spain

    Oscar Corcho

  3. University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Paul Groth

  4. King’s College London, London, UK

    Elena Simperl

  5. University of Liverpool, Liverpool, UK

    Valentina Tamma

  6. National Research Council, Bologna, Italy

    Andrea Giovanni Nuzzolese

  7. Universidad Politécnica de Madrid, Madrid, Spain

    Maria Poveda-Villalón

  8. Vienna University of Economics and Business, Vienna, Austria

    Marta Sabou

  9. University of Bologna, Bologna, Italy

    Valentina Presutti

  10. Cefriel - Politecnico Di Milano, Milan, Italy

    Irene Celino

  11. Semantic Web Company, Vienna, Austria

    Artem Revenko

  12. University of Paris-Saclay, Gif-sur-Yvette, France

    Joe Raad

  13. Ludwig-Maximilians-Universität München, Munich, Germany

    Bruno Sartini

  14. EURECOM, Biot, France

    Pasquale Lisena

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Serles, U., Kärle, E., Hunkel, R., Fensel, D. (2025). German Tourism Knowledge Graph. In: Meroño Peñuela, A., et al. The Semantic Web: ESWC 2024 Satellite Events. ESWC 2024. Lecture Notes in Computer Science, vol 15344. Springer, Cham. https://doi.org/10.1007/978-3-031-78952-6_49

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  • DOI: https://doi.org/10.1007/978-3-031-78952-6_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-78951-9

  • Online ISBN: 978-3-031-78952-6

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