@inproceedings{Matuszewska_2022,
 abstract = {The field of musicology is constantly being enriched with digital, searchable music data. This trend opens new research possibilities; conversely, it requires new abilities to work with numerous data sets efficiently. Digital tools facilitate searching large music corpora and serve music analysis well. Nevertheless, there is still a potential to better harmonize research perspectives from musicology and computer science to make computational analysis outcomes more explicit, comprehensible, and flexible.

The aim of this paper is to present new ways of handling, displaying, and considering musicological data. Music information from fugues BWV 846--851 composed by J.S. Bach, retrieved with Humdrum Tools and the Music Processing Suite (MPS) software, was processed and translated into a relational database. The visual display of the retrieved information was accomplished with dashboards using the data visualization software Tableau Public. The possibility of comparing each fugue's voices makes it easier to comprehend the knowledge hidden behind music data. Additional options enable further visual exploration of the analyses and ensure conditions for abduction under assumptions of diagrammatic reasoning as proposed by Charles Sanders Peirce.},
 author = {Matuszewska, Anna and Seibert, Christoph},
 title = {{Diagrammatic Analysis of J.S. Bach's \textit{The Well-Tempered Clavier} Fugues, BWV 846--851}},
 keywords = {mec-proceedings, mec-proceedings-2021},
 pages = {159--166},
 publisher = {{Humanities Commons}},
 isbn = {978-84-1302-173-7},
 editor = {M{\"u}nnich, Stefan and Rizo, David},
 booktitle = {{Music Encoding Conference Proceedings 2021}},
 year = {2022},
 doi = {10.17613/j7vc-cq22},
 displayby = {Contributions from MEC 2021}
}

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