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.
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Bohlken, W., Neumann, B. (2009). Generation of Rules from Ontologies for High-Level Scene Interpretation. In: Governatori, G., Hall, J., Paschke, A. (eds) Rule Interchange and Applications. RuleML 2009. Lecture Notes in Computer Science, vol 5858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04985-9_11
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DOI: https://doi.org/10.1007/978-3-642-04985-9_11
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