A Study of Subject Headings vs. User Generated Tags-Reference-Cited by-同舟云学术

A Study of Subject Headings vs. User Generated Tags

Published:2022-06-28 Issue: Volume: Page:177-182
ISSN:0976-2477
Container-title:SRELS Journal of Information Management
language:
Short-container-title:srels

Author:

Dutta Sonali,Kumar Das Subarna

Abstract

User-generated tagging or folksonomy is one of the most popular Web 2.0 applications and has attracted the interest of libraries and information centres, which has developed services that facilitate user community collaboration. In the digital environment, social tagging has the potential to overcome certain limitations of traditional subject headings. The main objectives of this research paper are to identify the scope of user-generated tags as compared to Subject Heading Lists and to explore the extent to which these user-generated tags can be used to enhance subject access. In this research paper, the problem is comparison between the Subject heading List and user generated tags. This work is an exploratory research and has followed a case study method. Five searches were performed in Library Thing using its Tag mash feature (essentially a keyword search of the user tag field) using 5 tags. After searching articles and interpreting all data, a comparison between the subject heading list and User-generated tags have been made.

Publisher

Sarada Ranganathan Endowment for Library Science

Reference9 articles.

1. Adamich, T. (2014). The Sears List -- An Old Friend With A 21st Century Look. Library Media Connection, 32(4), 43.

2. Bateman, S. (2007) “Collaborative Tagging : Folksonomy, Metadata, Visualization, e-Learning, Thesis.” HARVEST, University of Saskatchewan, 1 Dec. 2007, https://harvest.usask.ca/handle/10388/etd-12112007-221606.

3. Ferris, A. M. (2018). Birth of a subject heading. Library Resources & Technical Services, 62(1), 16-27.

4. Hayman, S. (2007) “ FOLKSONOMIES AND TAGGING: New Developments in Social Bookmarking .” Ark Education, Ark Group Conference: Developing and Improving Classification Schemes, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.138.8884&rep=rep1&type=pdf. Accessed 16 Jan. 2022.

5. Mas, M.D. (2012) “Intelligent Interface Architectures for Folksonomy Driven Structure Network,” 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems, 2012, pp. 519-525, https://doi.org/10.1109/CISIS.2012.158