A probabilistic abduction engine for media interpretation based on ontologies

Authors:
Oliver Gries;Ralf Möller;Anahita Nafissi;Maurice Rosenfeld;Kamil Sokolski;Michael Wessel
Affiliations:
Hamburg University of Technology, Germany;Hamburg University of Technology, Germany;Hamburg University of Technology, Germany;Hamburg University of Technology, Germany;Hamburg University of Technology, Germany;Hamburg University of Technology, Germany
Venue:
RR'10 Proceedings of the Fourth international conference on Web reasoning and rule systems
Year:
2010

Citing 4
Cited 4

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Probabilistic Horn abduction and Bayesian networks

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Multimedia Interpretation for Dynamic Ontology Evolution

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The racerpro knowledge representation and reasoning system

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Abstract

We propose an abduction-based formalism that uses description logics for the ontology and Horn rules for defining the space of hypotheses for explanations, and we use Markov logic to define the motivation for the agent to generate explanations on the one hand, and for ranking different explanations on the other. The formalism is applied to media interpretation problems in a agent-oriented scenario.