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An ontology-based approach to sensor-mission assignment

Preece, Alun David, Gomez, Mario, de Mel, Geeth, Vasconcelos, Wamberto, Sleeman, Derek, Colley, Stuart and La Porta, Tom 2007. An ontology-based approach to sensor-mission assignment. Presented at: 1st Annual Conference of the International Technology Alliance (ACITA 2007), Maryland, USA, 25-27 September 2007.

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Abstract

Effective deployment of limited and constrained intelligence, surveillance and reconnaisance (ISR) resources is seen as a key issue in modern network-centric joint-forces operations. The aim of our work is to enable proactive and reactive deployment of sensors and other information sources to best support the objectives of a task (or mission) being undertaken. In this paper, we consider one aspect of the deployment problem: proactive assignment of sensors and sources to mission tasks. We view this sub-problem as a matchmaking activity: matching the ISR requirements of tasks to the ISR-providing capabilities of available sensors and sources, and the platforms that carry them. A key issue is that of defining sufficiently-rich representations of these various elements — missions, tasks, ISR requirements, ISR capabilities, sensors, sources, and platforms — to support the matchmaking activity. We argue for an approach based on the use of ontologies: formal models of the various elements that can be used with deductive reasoning mechanisms to produce matches that are logically sound. We introduce a new ontology based on the military Missions and Means Framework (MMF), and show that the matchmaking activity is necessarily multidimensional in nature. We indicate how our approach builds on previous work in representing sensors and sources for various purposes, and highlight the role of current Web standards in providing an engineering foundation for our approach.

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Unpublished
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Related URLs:
Last Modified: 15 Nov 2013 10:54
URI: http://orca-mwe.cf.ac.uk/id/eprint/45932

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