article · ArXiv.org · 2026
An Ontology-driven Dynamic Knowledge Base for Uninhabited Ground Vehicles
Hsan Sandar Win, Andrew J. Walters, Cheng-Chew Lim, Daniel Webber, Seth Leslie, Tan Nhut Doan
Cited by 0Open access
Abstract
In this paper, the concept of Dynamic Contextual Mission Data (DCMD) is introduced to develop an ontology-driven dynamic knowledge base for Uninhabited Ground Vehicles (UGVs) at the tactical edge. The dynamic knowledge base with DCMD is added to the UGVs to: support enhanced situation awareness; improve autonomous decision making; and facilitate agility within complex and dynamic environments. As UGVs are heavily reliant on the a priori information added pre-mission, unexpected occurrences during a mission can cause identification ambiguities and require increased levels of user input. Updating this a priori information with contextual information can help UGVs realise their full potential. To address this, the dynamic knowledge base was designed using an ontology-driven representation, supported by near real-time information acquisition and analysis, to provide in-mission on-platform DCMD updates. This was implemented on a team of four UGVs that executed a laboratory based surveillance mission. The results showed that the ontology-driven dynamic representation of the UGV operational environment was machine actionable, producing contextual information to support a successful and timely mission, and contributed directly to the situation awareness.
Cite this paper
Win, H. S., Walters, A. J., Lim, C.-C., Webber, D., Leslie, S., & Doan, T. N. (2026). An Ontology-driven Dynamic Knowledge Base for Uninhabited Ground Vehicles. ArXiv.org.
Win, Hsan Sandar, et al. “An Ontology-driven Dynamic Knowledge Base for Uninhabited Ground Vehicles.” ArXiv.org, 2026.
Win, Hsan Sandar, Andrew J. Walters, Cheng-Chew Lim, Daniel Webber, Seth Leslie, and Tan Nhut Doan. 2026. “An Ontology-driven Dynamic Knowledge Base for Uninhabited Ground Vehicles.” ArXiv.org.
Win, H.S. et al. (2026) ‘An Ontology-driven Dynamic Knowledge Base for Uninhabited Ground Vehicles’, ArXiv.org.
@article{win2026ontology,
title = {{An Ontology-driven Dynamic Knowledge Base for Uninhabited Ground Vehicles}},
author = {Win, Hsan Sandar and Walters, Andrew J. and Lim, Cheng-Chew and Webber, Daniel and Leslie, Seth and Doan, Tan Nhut},
journal = {ArXiv.org},
year = {2026}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.