How can heat maps of indexing vocabularies be utilized for information seeking purposes?
This work addresses the challenge of improving information seeking for users in knowledge discovery, but it is incremental as it builds on existing knowledge map visualizations without introducing a new paradigm.
The paper tackled the problem of enhancing search term recommendations by proposing a use case that utilizes heat map visualizations of co-word relationships from indexing vocabularies, enabling users to more easily identify mainstream areas in a field.
The ability to browse an information space in a structured way by exploiting similarities and dissimilarities between information objects is crucial for knowledge discovery. Knowledge maps use visualizations to gain insights into the structure of large-scale information spaces, but are still far away from being applicable for searching. The paper proposes a use case for enhancing search term recommendations by heat map visualizations of co-word relation-ships taken from indexing vocabulary. By contrasting areas of different "heat" the user is enabled to indicate mainstream areas of the field in question more easily.