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

Research output: Chapter in Book or Conference ProceedingsConference Proceedings without Presentationpeer-review

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.
Original languageEnglish
Title of host publication2024 International Conference on Military Communication and Information Systems (ICMCIS 2024)(ICMCIS 2024)
Subtitle of host publicationSTO-MP-IST-205
Number of pages9
Volume1
ISBN (Electronic)978-92-837-2552-7
Publication statusPublished - 2024
Event2024 International Conference on Military Communication and Information Systems (ICMCIS) - Koblenz , Koblenz , Germany
Duration: 23 Apr 202424 Apr 2024

Conference

Conference2024 International Conference on Military Communication and Information Systems (ICMCIS)
Country/TerritoryGermany
CityKoblenz
Period23/04/2424/04/24

Research Field

  • Multimodal Analytics
  • Responsive Sensing & Analytics

Keywords

  • Ontology editors
  • Open source
  • Requirement analysis

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