An Interactive Chart of Biography

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

doi:10.1109/pacificvis.2019.00038

Cited by 23 publications

(25 citation statements)

References 39 publications

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“…Additionally, there seems to be an awareness that inconsistencies like imprecision, incompleteness or inhomogeneity exist. Only a few works introduce techniques to visually encode temporal imprecision [JFS16, KJKF19]. Future works should not only disclose such information to avoid misinterpreting visualizations but also produce novel visualization means to communicate uncertainties.…”

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 people associated with music are collected in the Musici (person) repository. Persons m 1 , m 2 , ..., m n , with n > 32, 000 offer a multitude of metadata for each musician m i : i -List of locations l j , ..., l k While, compared to the persons, the range of metadata is rather low, the connectivity from institutions to persons and locations leads to great possibilities for distant reading analyses of the institutions itself or more general trends between multiple ones (Khulusi et al, 2019).…”

Section: Musici-personsmentioning

confidence: 99%

“…While geo-spatial data of persons, places, and objects are again shown on a glyph based map and relations using a graph, novel visualizations are for example deployed for institutions. To allow exploration of temporal developments of an institution An Interactive Chart of Biography (Khulusi et al, 2019;Khulusi et al, 2018) is included for each institution. This visualization links membership data of the institution to a time-axis and offers distant-, meso-and close-reading views on the data, allowing it to be used for a broad range of scenarios and research questions regarding temporal developments of institutions.…”

Section: Findingmentioning

confidence: 99%

“…Simultaneously to their existence, tools and means of validation and showing such concepts are missing in traditional musicology and a clear need for such tools exists. In recent years, first visualization approaches dealt with such abstract concepts like chauvinism or historism (Khulusi et al, 2019) and how they are reflected in musicology.…”

Section: Interest Browsingmentioning

confidence: 99%

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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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“…Finally, one major reason for teaching on the basis of Munzner's works is the nested model (Munzner, 2009). My own experiences (Jänicke et al, 2016;Jänicke and Wrisley, 2017;Khulusi et al, 2019) outline that carrying out digital humanities projects based on the nested model model significantly increases the likeliness that the developed tool serves the intended purpose because domain experts with their knowledge in the targeted research field are strongly involved in the development process. The interdisciplinary exchange necessary for successful digital humanities research students experience in the practical training.…”

Section: Theoretical Contentsmentioning

confidence: 99%

Teaching on the Intersection of Visualization and Digital Humanities

Jänicke

2020

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

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Visualization as a means to generate hypotheses and to communicate insights on digitized cultural heritage data sets has become more and more important in the recent years. While many digital humanities researchers transform their data in order to be processed with ready-to-use tools, others engage in interdisciplinary collaborations with visualization scholars aiming to design novel solutions and interactive visual interfaces as occurring data features are more carefully mapped to visual attributes. Many of those collaborations suffer from loss of time at the beginning of the project as scholars with diverse research backgrounds require to understand each others' mindsets, ways of thinking and research interests. This paper reports on three years of teaching visualization design for digital humanities projects. It provides an overview of theoretical course contents, practical training, collaboration setups-involving computer science, digital humanities as well as humanities students who experienced typical collaboration obstacles-and remarkable project results.

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An Interactive Chart of Biography

Cited by 23 publications

References 39 publications

A Survey on Visualizations for Musical Data

A Survey on Visualizations for Musical Data

musiXplora: Visual Analysis of a Musicological Encyclopedia

Teaching on the Intersection of Visualization and Digital Humanities

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