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Generation of Rules from Ontologies for High-Level Scene Interpretation

  • Wilfried Bohlken
  • Bernd Neumann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5858)

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.

Keywords

Description Logic Temporal Constraint Taxonomical Hierarchy Primitive Event Scene Interpretation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Wilfried Bohlken
    • 1
  • Bernd Neumann
    • 1
  1. 1.Cognitive Systems Laboratory, Department InformatikUniversity of HamburgHamburgGermany

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