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Abstract. Cognitive modeling as a method has proven successful at reproducing and explaining human intelligent behavior in specific labo-ratory situations, but still struggles to produce more general intelligent capabilities. A promising strategy to address this weakness is the addi-tion of large semantic resources to cognitive architectures. We are inves-tigating the usefulness of this approach in the context of human behavior during software use. By adding world knowledge from a Wikipedia-based ontology to a model of human sequential behavior, we achieve quanti-tatively and qualitatively better fits to human data.The combination of model and ontology yields additional insights that cannot be explained by the model or the ontology alone