Enhancing similarity measures

Humans are known to classify objects based on its similarity to previously encountered objects. Similarity-assessment is partly a top-down process, that is, what is regarded as similar depends on background knowledge. This thesis proposes techniques how to integrate various types of background knowledge into technical similarity measures. A special focus is how to treat incorrect or incomplete knowledge.