mlsanityData to 14 Oct 2026

Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks

arXiv 2608.05867 ↗First posted 6 Aug 2026cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

The use of ontologies and knowledge graphs is becoming increasingly widespread in the defence and national security domain. Numerous ontologies have been developed through initiatives led by academia, industry, and government. Achieving interoperability across diverse defence and national security ontologies remains a major challenge due to the domain's breadth and specialisation. In this work, we analyse and document over 60 publicly available ontologies and introduce a new track for the Ontology Alignment Evaluation Initiative (OAEI). This track comprises eight matching tasks, consensus alignments and manually-curated (silver-standard) mappings. The consensus alignments are derived by aggregating the outputs of several state-of-the-art ontology alignment systems. The silver-standard is obtained from the manual validation of the consensus alignment together with a subset of the unique mappings (i.e., mappings suggested by only one system).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 62 references that are in the map. First posted on arXiv 6 Aug 2026.

Builds on

10 of 62 references.

References · 10

  1. 2023A Comprehensive Overview of Large Language Modelscited by 648
  2. 2020Knowledge Graphscited by 621
  3. 2020Neurosymbolic AI: The 3rd Wavecited by 255
  4. 2021BERTMap: A BERT-based Ontology Alignment Systemcited by 46
  5. 2022Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matchingcited by 22
  6. 2023Ontologies in Digital Twins: A Systematic Literature Reviewcited by 7
  7. 2020Best Practices for Implementing FAIR Vocabularies and Ontologies on the Webcited by 5
  8. 2021Social Engineering in Cybersecurity: A Domain Ontology and Knowledge Graph Application Examplescited by 5
  9. 2025Large Language Models as Oracles for Ontology Alignmentcited by 3
  10. 2025Structuring Security: A Survey of Cybersecurity Ontologies, Semantic Log Processing, and LLMs Applicationcited by 3

Built on by

Not cited yet.