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The ability to browse an information space in a structured way by exploitingsimilarities and dissimilarities between information objects is crucial forknowledge discovery. Knowledge maps use visualizations to gain insights intothe structure of large-scale information spaces, but are still far away frombeing applicable for searching. The paper proposes a use case for enhancingsearch term recommendations by heat map visualizations of co-wordrelation-ships taken from indexing vocabulary. By contrasting areas ofdifferent "heat" the user is enabled to indicate mainstream areas of the fieldin question more easily.

How can heat maps of indexing vocabularies be utilized for information seeking purposes?