An ontology-centric approach to sensor-mission assignment

Mario Gomez, Alun Preece, Matthew P. Johnson, Geeth De Mel, Wamberto Vasconcelos, Christopher Gibson, Amotz Bar-Noy, Konrad Borowiecki, Thomas La Porta, Diego Pizzocaro, Hosam Rowaihy, Gavin Pearson, Tien Pham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

57 Scopus citations

Abstract

Sensor-mission assignment involves the allocation of sensor and other information-providing resources to missions in order to cover the information needs of the individual tasks in each mission. This is an important problem in the intelligence, surveillance, and reconnaissance (ISR) domain, where sensors are typically over-subscribed, and task requirements change dynamically. This paper approaches the sensor-mission assignment problem from a Semantic Web perspective: the core of the approach is a set of ontologies describing mission tasks, sensors, and deployment platforms. Semantic reasoning is used to recommend collections of types of sensors and platforms that are known to be "fit-for-purpose" for a particular task, during the mission planning process. These recommended solutions are used to constrain a search for available instances of sensors and platforms that can be allocated at mission execution-time to the relevant tasks. An interface to the physical sensor environment allows the instances to be configured to operate as a coherent whole and deliver the necessary data to users. Feedback loops exist throughout, allowing re-planning of the sensor-task fitness, reallocation of instances, and reconfiguration of the sensor network.

Original languageEnglish (US)
Title of host publicationKnowledge Engineering
Subtitle of host publicationPractice and Patterns - 16th International Conference, EKAW 2008, Proceedings
Pages347-363
Number of pages17
DOIs
StatePublished - Nov 28 2008
Event16th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2008 - Acitrezza, Italy
Duration: Sep 29 2008Oct 2 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5268 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2008
CountryItaly
CityAcitrezza
Period9/29/0810/2/08

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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