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Enhancing the usability and retrieval of institutional digital assets : a case study of AIT | |
Author | Nang San Hom |
Call Number | AIT Thesis no.CS-21-01 |
Subject(s) | Institutional repositories-Thailand-Case studies Computer vision Digital preservation |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no.CS-21-01 |
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, document centered 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. |
Year | 2021 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis : no.CS-21-01 |
Type | Thesis |
School | School of Engineering and Technology |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Computer Science (CS) |
Chairperson(s) | Chutiporn Anutariya; |
Examination Committee(s) | Anwar, Naveed;Chaklam Silpasuwanchai; |
Scholarship Donor(s) | AIT Fellowship; |
Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2021 |