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Enhancing similarity measures

With imperfect rule-based background knowledge
 
: Steffens, T.

Künstliche Intelligenz : KI (2008), Nr.1, S.40-41
ISSN: 0933-1875
ISSN: 1610-1987
Englisch
Zeitschriftenaufsatz
Fraunhofer IAIS ()

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-77516.html