The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.
Ratta, M., Daga, E. and Asprino, L. (2025). PySPARQL Anything Showcase. In: Meroño Peñuela, Albert; Simperl, Elena; Corcho, Oscar; Poveda-Villalón, Maria; Groth, Paul; Tamma, Valentina; Giovanni Nuzzolese, Andrea; Sabou, Marta; Presutti, Valentina; Celino, Irene; Rovenko, Artem; Raad, Joe; Sartini, Bruno and Lisena, Pasquale eds. The Semantic Web: ESWC 2024 Satellite Events. ESWC 2024. Lecture Notes in Computer Science, 15344. Springer, pp. 301–305. https://oro.open.ac.uk/103547/.
Morales Tirado, A., Carvalho, J., Ratta, M., Uwasomba, C., Mulholland, P., Barlow, H., Herbert, T. and Daga, E. (2024). Musical Meetups Knowledge Graph (MMKG): a collection of evidence for historical social network analysis. In: ESWC 2024: The 21st Extended Semantic Web Conference, 26-30 May 2024, Hersonissos, Crete, Greece. https://oro.open.ac.uk/96738/.
Ratta, M. and Daga, E. (2022). Knowledge Graph Construction From MusicXML: An Empirical Investigation With SPARQL Anything. In: Music Heritage Knowledge Graphs (MHKG). Workshop co-located with the International Semantic Web Conference (ISWC), 23 Oct 2022, Online. https://oro.open.ac.uk/85326/.
