Abstract. In this paper, a novel architecture for high-level scene interpretation is introduced, which is based on the generation of rules from an OWL-DL ontology. It is shown that the object-centered structure of the ontology can be transformed into a rule-based system in a native and systematic way. Furthermore the integration of constraints -which are essential for scene interpretation -is demonstrated with a temporal constraint net, and it is shown how parallel computing of alternatives can be realised. First results are given using examples of airport activities.
Bohlken et al. REF considered the problem of high-level scene interpretation suggesting a novel architecture based on the generation of rules from an OWL-DL ontology.
Generation of rules from ontologies for high-level scene interpretation
Rule Interchange and Applications, Proc. Int. Symposium RuleML 2009, volume 5858 of LNCS, 93–107
Computer Science