Ontology-driven knowledge graphs for personnel management within the UK Ministry of Defence: a conceptual overview

Date published

2024-11-13

Free to read from

2025-01-17

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Publisher

Cranfield University Defence and Security

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Type

Conference paper

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Citation

Shufflebotham AJ, Camelia F, Ferris T. (2024) Ontology-driven knowledge graphs for personnel management within the UK Ministry of Defence: a conceptual overview. DSDS24, Cranfield Defence and Security Doctoral Symposia 2024, 13-14 November 2024, STEAM Museum, Swindon, UK

Abstract

Ontology-driven knowledge graphs visualise complex relationships between entities such as people and concepts. This conceptual paper explores the potential for using ontology-driven knowledge graphs to enhance personnel management within the Ministry of Defence (MOD). It reviews existing literature on ontologies, structured frameworks to store domain knowledge based on relationships between data, and knowledge graphs and outlines the concept of an ontology-driven knowledge graph for a skill management system. The paper argues that this approach can provide a unified, standardised method for managing personnel skills, improving decision-making, and enhancing operational efficiency. A further benefit identified is the potential for the system to be expanded to exchange information with other systems, such as the NATO Defence Planning Process (NDPP), allowing external data to improve the quality of inferences made by the system.

Description

Software Description

Software Language

Github

Keywords

ontology, knowledge graph, personnel management, defence, RDF, OWL, GraphDB

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Attribution 4.0 International

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DSTL

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