Publikation:

OVA : Oceanus Visual Analytics

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2025

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2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, S. 15-16. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00012

Zusammenfassung

Mini-Challenge 3 of the VAST Challenge 2025 centers around the investigation of a covert operation taking place in and around Nemo Reef on the island of Oceanus. To facilitate the analysis, we developed a visual analytics application emphasizing transparency, objectivity, and interactivity. Our tool allows analysts to examine the provided knowledge graph through multiple coordinated visualizations. By avoiding any assumptions or pre-computations, we ensure that the information displayed remains grounded in the provided evidence. The application enables users to identify key events, relationships, pseudonyms, and influence structures, as well as to reconstruct the narrative behind the operation. Major findings include the timeline of the covert activities, the identification of pseudonyms used by key individuals, and the involvement of Nadia Conti (alias "Boss") in illegal operations.

Zusammenfassung in einer weiteren Sprache

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004 Informatik

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VAST Challenge 2025, Mini-Challenge 3, Visual Analytics, Knowledge Graphs, Oceanus

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2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge), 3. Nov. 2025, Vienna, Austria
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ISO 690DA SILVA ARAÚJO FINSTERWALDER, Benedict, Pascal LE HONG, Daniel A. KEIM, Julius RAUSCHER, Lucas JOOS, 2025. OVA : Oceanus Visual Analytics. 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. 15-16. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00012
BibTex
@inproceedings{daSilvaAraujoFinsterwalder2025-11-03Ocean-76300,
  title={OVA : Oceanus Visual Analytics},
  year={2025},
  doi={10.1109/vast-challenge69463.2025.00012},
  isbn={979-8-3315-9090-1},
  address={Piscataway, NJ},
  publisher={IEEE},
  booktitle={2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)},
  pages={15--16},
  author={da Silva Araújo Finsterwalder, Benedict and Le Hong, Pascal and Keim, Daniel A. and Rauscher, Julius and Joos, Lucas}
}
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