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KSEM
2009
Springer

On Optimization of Predictions in Ontology-Driven Situation Awareness

13 years 10 months ago
On Optimization of Predictions in Ontology-Driven Situation Awareness
Systems supporting situation awareness in large-scale control systems, such as, e. g., encountered in the domain of road traffic management, pursue the vision of allowing human operators prevent critical situations. Recently, approaches have been proposed, which express situations, their constituting objects, and the relations in-between (e. g., road works causing a traffic jam), by means of domain-independent ontologies, allowing automatic prediction of future situations on basis of relation derivation. The resulting vast search space, however, could lead to unacceptable runtime performance and limited expressiveness of predictions. In this paper, we argue that both issues can be remedied by taking inherent characteristics of objects into account. For this, an ontology is proposed together with optimization rules, allowing to exploit such characteristics for optimizing predictions. A case study in the domain of road traffic management reveals that search space can be substantially red...
Norbert Baumgartner, Wolfgang Gottesheim, Stefan M
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where KSEM
Authors Norbert Baumgartner, Wolfgang Gottesheim, Stefan Mitsch, Werner Retschitzegger, Wieland Schwinger
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