MUSE4Music

Music has expressive power. What seems to be obvious, is still difficult to grasp scientifically - especially if you are interested in the effect music had in the past. For example, there are only a few sources from the 19th century that provide information about the expressive quality that people attributed to music at that time. Our project outlines a new method for approaching the effects of 19th century symphonic music combining approaches from historical and systematic musicology as well as computer science.

MUSE4Music is a cooperation project with the Musicological Institute of the University of Cologne.

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1. Barzen, Johanna; Breitenbücher, Uwe; Eusterbrock, Linus; Falkenthal, Michael; Hentschel, Frank; Leymann, Frank: The vision for MUSE4Music. Applying the MUSE method in musicology. In: Hermann Engesser (Hrsg): Computer Science - Research and Development. Advancements of Service Computing: Proceedings of SummerSoC 2016, Vol. 32 (3-4), Heidelberg: Springer, 2016.

1. Eusterbrock, Linus; Barzen, Johanna; Hentschel, Frank: Eine Ontologie symphonischer Musik des 19. Jahrhunderts, Technischer Bericht Nr. 2017/02.

1. Barzen, Johanna; Falkenthal, Michael; Hentschel, Frank; Leymann, Frank; Strehl, Tino: Ähnlichkeitssuche in den Digital Humanities: Semi-automatische Identifikation von Kostümmustern, In: Burr, Elisabeth (Hrsg): Konferenzabstracts DHd 2016 "Modellierung - Vernetzung - Visualisierung: Die Digital Humanities als fächerübergreifendes Forschungsparadigma".
2. Barzen, Johanna; Falkenthal, Michael; Hentschel, Frank; Leymann, Frank: Musterforschung in den Geisteswissenschaften: Werkzeugumgebung zur Musterextraktion aus Filmkostümen, In: DHd 2015.