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Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network Analysis

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The Semantic Web (ESWC 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14665))

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Abstract

Knowledge Graphs (KGs) have emerged as a valuable tool for supporting humanities scholars and cultural heritage organisations. In this resource paper, we present the Musical Meetups Knowledge Graph (MMKG), a collection of evidence of historical collaborations between personalities relevant to the music history domain. We illustrate how we built the KG with a hybrid methodology that, combining knowledge engineering with natural language processing, including the use of Large Language Models (LLM), machine learning, and other techniques, identifies the constituent elements of a historical meetup. MMKG is a network of historical meetups extracted from \(\sim \)33k biographies collected from Wikipedia focused on European musical culture between 1800 and 1945. We discuss how, by providing a structured representation of social interactions, MMKG supports digital humanities applications and music historians’ research, teaching, and learning.

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Notes

  1. 1.

    http://polifonia-project.eu.

  2. 2.

    Meetups Ontology repository: https://github.com/polifonia-project/meetups-ontology.

  3. 3.

    Data was collected on January 2022.

  4. 4.

    Meetups corpus: https://github.com/polifonia-project/meetups_corpus_collection.

  5. 5.

    DBpedia-Spotlight: https://www.dbpedia-spotlight.org/.

  6. 6.

    SynTime software: https://github.com/zhongxiaoshi/syntime.

  7. 7.

    ISO8601 International Standard: https://en.wikipedia.org/wiki/ISO_8601.

  8. 8.

    dateutil library: https://dateutil.readthedocs.io/en/stable/index.html.

  9. 9.

    approx-dates library: https://pypi.org/project/approx-dates/.

  10. 10.

    ChatGPT: https://openai.com/product.

  11. 11.

    Coreferee a spaCy library: https://spacy.io/universe/project/coreferee/.

  12. 12.

    Due to space constraints, Table 2 displays a summary of the CQs.

  13. 13.

    Queries and results obtained available in the MMKG repository - queries folder https://github.com/polifonia-project/meetups-knowledge-graph/.

  14. 14.

    Stats queries: https://github.com/polifonia-project/meetups-knowledge-graph/blob/main/queries/top-entities.sparql.

  15. 15.

    Complete results can be found at this address: https://docs.google.com/document/d/1PGknESmJm4f_-QwSdebTuiHIZ3bMaBrtcs4-9AKLPcc/edit?usp=sharing.

  16. 16.

    https://leafletjs.com/.

  17. 17.

    https://openlayers.org/.

  18. 18.

    https://www.go-fair.org/fair-principles/.

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Acknowledgements

This work was supported by the EU’s Horizon Europe research and innovation programme within the Polifonia project (grant agreement N. 101004746).

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Authors and Affiliations

  1. The Open University, Milton Keynes, UK

    Alba Morales Tirado, Jason Carvalho, Marco Ratta, Chukwudi Uwasomba, Paul Mulholland, Helen Barlow, Trevor Herbert & Enrico Daga

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  1. Alba Morales Tirado
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Correspondence to Alba Morales Tirado .

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Editors and Affiliations

  1. King’s College London, London, UK

    Albert Meroño Peñuela

  2. KU Leuven, Sint-Katelijne-Waver, Belgium

    Anastasia Dimou

  3. EURECOM, Biot, France

    Raphaël Troncy

  4. Linköping University, Linköping, Sweden

    Olaf Hartig

  5. Technical University of Munich, Heilbronn, Germany

    Maribel Acosta

  6. Polytechnic Institute of Paris, Palaiseau, France

    Mehwish Alam

  7. University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  8. EURECOM, Biot, France

    Pasquale Lisena

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Morales Tirado, A. et al. (2024). Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network Analysis. In: Meroño Peñuela, A., et al. The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, vol 14665. Springer, Cham. https://doi.org/10.1007/978-3-031-60635-9_7

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  • DOI: https://doi.org/10.1007/978-3-031-60635-9_7

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