Musical Meetups Knowledge Graph (MMKG): a collection of evidence for historical social network analysis

Morales Tirado, Alba; Carvalho, Jason; Ratta, Marco; Uwasomba, Chukwudi; Mulholland, Paul; Barlow, Helen; Herbert, Trevor and Daga, Enrico (2024). Musical Meetups Knowledge Graph (MMKG): a collection of evidence for historical social network analysis. In: The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, vol 14665 (Meroño Peñuela, Albert; Dimou, Anastasia; Troncy, Raphael; Hartig, Olaf; Acosta, Maribel; Alam, Mehwish; Paulheim, Heiko and Lisena, Pasquale eds.), Springer, Cham.

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

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, to identify the constituent elements of a historical meetup. MMKG is a network of historical meetups extracted from ∼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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