OVA : Oceanus Visual Analytics

dc.contributor.authorda Silva Araújo Finsterwalder, Benedict
dc.contributor.authorLe Hong, Pascal
dc.contributor.authorKeim, Daniel A.
dc.contributor.authorRauscher, Julius
dc.contributor.authorJoos, Lucas
dc.date.accessioned2026-02-23T15:16:15Z
dc.date.available2026-02-23T15:16:15Z
dc.date.issued2025-11-03
dc.description.abstractMini-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.
dc.description.versionpublisheddeu
dc.identifier.doi10.1109/vast-challenge69463.2025.00012
dc.identifier.ppn196313351X
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/76300
dc.language.isoeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectVAST Challenge 2025
dc.subjectMini-Challenge 3
dc.subjectVisual Analytics
dc.subjectKnowledge Graphs
dc.subjectOceanus
dc.subject.ddc004
dc.titleOVA : Oceanus Visual Analyticseng
dc.typeINPROCEEDINGS
dspace.entity.typePublication
kops.citation.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}
}
kops.citation.iso690DA 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-challenge69463.2025.00012deu
kops.citation.iso690DA 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, Nov 3, 2025. In: 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, pp. 15-16. ISBN 979-8-3315-9090-1. Available under: doi: 10.1109/vast-challenge69463.2025.00012eng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/76300">
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2026-02-23T15:16:15Z</dc:date>
    <dcterms:title>OVA : Oceanus Visual Analytics</dcterms:title>
    <dc:language>eng</dc:language>
    <dc:contributor>Le Hong, Pascal</dc:contributor>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:contributor>da Silva Araújo Finsterwalder, Benedict</dc:contributor>
    <dcterms:issued>2025-11-03</dcterms:issued>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/76300/1/Finsterwalder_2-2frt053y775n8.pdf"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2026-02-23T15:16:15Z</dcterms:available>
    <dc:creator>Le Hong, Pascal</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/76300/1/Finsterwalder_2-2frt053y775n8.pdf"/>
    <dc:creator>da Silva Araújo Finsterwalder, Benedict</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Joos, Lucas</dc:contributor>
    <dc:contributor>Rauscher, Julius</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/76300"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Rauscher, Julius</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:abstract>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.</dcterms:abstract>
    <dc:creator>Joos, Lucas</dc:creator>
  </rdf:Description>
</rdf:RDF>
kops.conferencefield2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge), 3. Nov. 2025, Vienna, Austriadeu
kops.date.conferenceStart2025-11-03
kops.description.openAccessopenaccessgreen
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-2-2frt053y775n8
kops.location.conferenceVienna, Austria
kops.sourcefield<i>2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)</i>. Piscataway, NJ: IEEE, 2025, S. 15-16. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00012deu
kops.sourcefield.plain2025 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-challenge69463.2025.00012deu
kops.sourcefield.plain2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, pp. 15-16. ISBN 979-8-3315-9090-1. Available under: doi: 10.1109/vast-challenge69463.2025.00012eng
kops.title.conference2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)
relation.isAuthorOfPublication5b76edd3-dcf6-46e4-8440-7dbacf4f55b5
relation.isAuthorOfPublication251b0c5f-9d3f-4a0e-9f68-6038b0121132
relation.isAuthorOfPublicationda7dafb0-6003-4fd4-803c-11e1e72d621a
relation.isAuthorOfPublication8c05343e-5de5-402a-88c8-2c0d18979245
relation.isAuthorOfPublicationbfbe0c3f-960a-4409-a537-02b3a287d205
relation.isAuthorOfPublication.latestForDiscoveryda7dafb0-6003-4fd4-803c-11e1e72d621a
source.bibliographicInfo.fromPage15
source.bibliographicInfo.toPage16
source.identifier.isbn979-8-3315-9090-1
source.publisherIEEE
source.publisher.locationPiscataway, NJ
source.title2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Finsterwalder_2-2frt053y775n8.pdf
Größe:
495.02 KB
Format:
Adobe Portable Document Format
Finsterwalder_2-2frt053y775n8.pdf
Finsterwalder_2-2frt053y775n8.pdfGröße: 495.02 KBDownloads: 8