Abstract:
Institutional digital assets are the foundation for a digital repository (IDR) to provide
services for the researchers. As the publishing of these digital assets is growing rapidly,
the efficient way of managing and visualization of them is becoming challenging.
Several limitations in user interfaces depend on the discovery of resources, documentcentered design, and approach of searching limit the widespread use of the previous
services that IDR provides. Academics and experts who need to read and handle proper
documents require things that support them to identify and manage this flood of
information.
In this study, we have tried to overcome the above-mentioned challenges by proposing
an interactive web-based IDR’s visual plugin aimed at supporting the usability and
retrieval of institutional digital assets. With the use of Latent Dirichlet Allocation
(LDA) topic modeling, visualization technique is utilized for topic analysis in this
study. Topic modeling helps for grouping a set of digital assets into several clusters.
We also adopted a method of best topic selection for deciding which terms to present
to a user to aid in the task of topic interpretation. Sunburst, Treemap and Word Cloud
visualization techniques are adopted to exhibit the scholarly resources. Our plugin able
to boost searching in scholarly resources by delivering information about the range and
context of digital collections and enabling users to more easily browse and explore the
contents. Besides, allows user to upload their own bibliographic data for modeling and
visualization. The plugin has been applied to model a case study of CSIM digital
repository, which can manifest its feasibility and effectiveness in managing and
visualizing institutional digital assets.
