WESH : Web-based Exploration of Stars and their History

Kurzanzeige
dc.contributor.authorHangg, Andreas
dc.contributor.authorOpel, Maximilian
dc.contributor.authorde Boer, Jan
dc.contributor.authorKeim, Daniel A.
dc.contributor.authorJoos, Lucas
dc.contributor.authorRauscher, Julius
dc.date.accessioned2026-02-23T15:28:24Z
dc.date.available2026-02-23T15:28:24Z
dc.date.issued2025-11-03
dc.description.abstractThe VAST Challenge 2025 presents a scenario in which music journalist Silas Reed investigates the evolution of Oceanus Folk and the career of Sailor Shift, an artist whose rise has brought global attention to a genre once confined to its island origins. To support this investigation, we developed WESH (Web-based Exploration of Stars and their History) a visual analytics system that combines knowledge-graph modeling with interactive visualizations of influence, collaboration, and genre dynamics. Our approach enables multifaceted analysis of artist trajectories and genre development over time. Through different views and temporal filtering, users can investigate patterns of collaboration, trace influence paths, and explore the changing role of Oceanus Folk within the wider music ecosystem.
dc.description.versionpublisheddeu
dc.identifier.doi10.1109/vast-challenge69463.2025.00015
dc.identifier.ppn1963132971
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/76304
dc.language.isoeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectVAST Challenge 2025
dc.subjectMini-Challenge 1
dc.subjectVisual Analytics
dc.subjectKnowledge Graphs
dc.subjectInfluence Analysis
dc.subjectOceanus Folk
dc.subject.ddc004
dc.titleWESH : Web-based Exploration of Stars and their Historyeng
dc.typeINPROCEEDINGS
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Hangg2025-11-03Webba-76304,
  title={WESH : Web-based Exploration of Stars and their History},
  year={2025},
  doi={10.1109/vast-challenge69463.2025.00015},
  isbn={979-8-3315-9090-1},
  address={Piscataway, NJ},
  publisher={IEEE},
  booktitle={2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)},
  pages={21--22},
  author={Hangg, Andreas and Opel, Maximilian and de Boer, Jan and Keim, Daniel A. and Joos, Lucas and Rauscher, Julius}
}
kops.citation.iso690HANGG, Andreas, Maximilian OPEL, Jan DE BOER, Daniel A. KEIM, Lucas JOOS, Julius RAUSCHER, 2025. WESH : Web-based Exploration of Stars and their History. 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Vienna, Austria, 3. Nov. 2025. In: 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, S. 21-22. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00015deu
kops.citation.iso690HANGG, Andreas, Maximilian OPEL, Jan DE BOER, Daniel A. KEIM, Lucas JOOS, Julius RAUSCHER, 2025. WESH : Web-based Exploration of Stars and their History. 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Vienna, Austria, Nov 3, 2025. In: 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, pp. 21-22. ISBN 979-8-3315-9090-1. Available under: doi: 10.1109/vast-challenge69463.2025.00015eng
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kops.conferencefield2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge), 3. Nov. 2025, Vienna, Austriadeu
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kops.sourcefield.plain2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, S. 21-22. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00015deu
kops.sourcefield.plain2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, pp. 21-22. ISBN 979-8-3315-9090-1. Available under: doi: 10.1109/vast-challenge69463.2025.00015eng
kops.title.conference2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)
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