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This paper proposes a new approach to extract existing (or detect missing) concepts from a loosely integrated collection of information units by means of concept graph detection. Once the concepts have been extracted they can be used in order to create a higher level representation of the data. Concept graphs further allow the discovery of missing concepts which might lead to new insights by connecting seemingly unrelated information units
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