Designing a collection tree using Omeka. Issue 5 (31st March 2022)

• Record Type: Journal Article
• Authors: Mandal, Sukumar
• Is Part Of: Library hi tech news. Volume 39:Issue 5(2022)
• Page Start: 16
• Page End: 21
• Publication Date: 2022-03-31
• Subjects: Digital library -- Omeka -- Tag clouds -- Collection tree -- Geolocation -- Prototype framework; Library science -- Technological innovations -- Periodicals; Libraries -- Automation -- Periodicals; 025.020285
• DOI: 10.1108/LHTN-02-2022-0019
• Languages: English
• ISSNs: 0741-9058

Abstract

Abstract : Purpose: The purpose of this study is to look into the three major new innovative components such as collection tree, tags cloud and geolocation for developing digital library system. This study aims to develop and design an integrated framework for enhancing this services. Design/methodology/approach: This study will develop a single purpose-driven framework for the domain. It will vary user-friendly architecture on expanding the collection tree based on a high-level operating system and plugins. Now software programs are available in the Omeka Web repository. The whole integrated framework has been designed based on the Linux Operating platform and LAMP architecture towards depends on proper installation and configuration of the "Collection Tree" module with Omeka for both the administration and user interfaces. Findings: With this integrated structure, keyword cloud users will have easy access to objects and full-text content. Because it can save readers time, the collection tree is helpful in them. This integrated framework for constructing and designing the collection tree for the digital library allows geolocation-based searches from multiple collections. Originality/value: The integrated domain-specific framework has been designed and developed for the libraries. So, it is feasible to provide better library services in inter-operability and crosswalk through the Omeka collection tree interface. It increases the advanced search mechanism for users using this innovative module and techniques towards creating collection trees based on tag clouds and geolocation for library professionals and advanced level users from multiple collections of hierarchy.