A Timeline Metaphor for Analyzing the Relationships between Musical Instruments and Musical Pieces

Kusnick, Jakob; Khulusi, Richard; Focht, Josef; Jänicke, Stefan

doi:10.5220/0008990502400251

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…One example is the timeline visualization of instruments from multiple musical instrument museums by Kusnick et al . [KKFJ20b]. The single instrument's lifetime events are enhanced with hypothesized relations to matching musical pieces, through the analysis of metadata about the two entity classes.…”

Section: Future Challengesmentioning

confidence: 99%

A Survey on Visualizations for Musical Data

Khulusi

Kusnick

Meinecke

et al. 2020

Computer Graphics Forum

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Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non‐expert users in data analysis and in gaining new knowledge. This survey focuses on this unique link between musicology and visualization. We classify 129 related works according to the visualized data types, and we analyse which visualization techniques were applied for certain research inquiries and to fulfill specific tasks. Next to scientific references, we take commercial music software and public websites into account, that contribute novel concepts of visualizing musicological data. We encounter different aspects of uncertainty as major problems when dealing with musicological data and show how occurring inconsistencies are processed and visually communicated. Drawing from our overview in the field, we identify open challenges for research on the interface of musicology and visualization to be tackled in the future.

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Section: Future Challengesmentioning

confidence: 99%

A Survey on Visualizations for Musical Data

Khulusi

Kusnick

Meinecke

et al. 2020

Computer Graphics Forum

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“…The repository Res includes terms of musicology. While normally dictionaries exist that help in understanding terms and offering descriptions, musicology has the unique issue that a lot of terms are uncertain, thus, leading to challenges for automated processing (Khulusi et al, 2020;Kusnick et al, 2020). This follows from changes in the meaning of terms throughout the time and almost no endeavors to standardize terminology.…”

Section: Res-termsmentioning

confidence: 99%

musiXplora: Visual Analysis of a Musicological Encyclopedia

Khulusi

Kusnick

Focht

et al. 2020

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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Making large sets of digitized cultural heritage data accessible is a key task for digitization projects. While the amount of data available through print media is vast in humanities, common issues arise as information available for the digitization process is typically fragmented. One reason is the physical distribution of data through print media that has to be collected and merged. Especially, merging causes issues due to differences in terminology, hampering automatic processing. Hence, digitizing musicological data raises a broad range of challenges. In this paper, we present the current state of the ongoing musiXplora project, including a multi-faceted database and a visual exploration system for persons, places, objects, terms, media, events, and institutions of musicological interest. A particular focus of the project is using visualizations to overcome traditional problems of handling both, vast amounts and anomalies of information induced by the historicity of data. We present several use cases that highlight the capabilities of the system to support musicologists in their daily workflows.

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