Comparative Analysis of Open Source Knowledge Graph Systems for Military Reconnaissance

Medina Andresel, Axel Weißenfeld, Christoph Singewald, Veronika Siska, Refiz Duro, Sven Schlarb, Thomas Halwax, Drazen Ignjatovic, Lam Pham

Publikation: Beitrag in Buch oder TagungsbandBeitrag in Tagungsband ohne PräsentationBegutachtung

Abstract

This paper highlights the significant role of knowledge graphs in intelligent information systems used for enhancing military reconnaissance. The paper also emphasizes the importance of reasoning capabilities in knowledge graphs and discusses the role of knowledge graph open source tools in their development and maintenance. To this end, the paper first analyzes the reasoning support provided by different knowledge graph open source tools and explores how existing software reasoners can be used to enhance knowledge graphs. This serves as a valuable guide for knowledge graph practitioners by offering insights into available resources, reasoning support, and strategies for building comprehensive knowledge graphs. Second, the paper provides an effective framework to help users select and compare the most suitable tools for their specific requirements of military reconnaissance.
OriginalspracheEnglisch
Titel2024 International Conference on Military Communication and Information Systems (ICMCIS 2024)(ICMCIS 2024)
UntertitelSTO-MP-IST-205
Seitenumfang9
Band1
ISBN (elektronisch)978-92-837-2552-7
PublikationsstatusVeröffentlicht - 2024
Veranstaltung2024 International Conference on Military Communication and Information Systems (ICMCIS) - Koblenz , Koblenz , Deutschland
Dauer: 23 Apr. 202424 Apr. 2024

Konferenz

Konferenz2024 International Conference on Military Communication and Information Systems (ICMCIS)
Land/GebietDeutschland
StadtKoblenz
Zeitraum23/04/2424/04/24

Research Field

  • Multimodal Analytics
  • Responsive Sensing & Analytics

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