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Towards user-centered indexing in digital image collections.
- Source :
- OCLC Systems & Services; 2006, Vol. 22 Issue 4, p283-298, 16p, 5 Black and White Photographs
- Publication Year :
- 2006
-
Abstract
- Purpose - User-created metadata, often referred to as folksonomy or social classification, has received a considerable amount of attention in the digital library world. Social tagging is perceived as a tool for enhancing description of digital objects and providing a venue for user input and greater user engagement. This article seeks to examine the pros and cons of user-generated metadata in the context of digital image collections and compares it to professionally created metadata schema and controlled vocabulary tools. Design/methodology/approach - The article provides an overview of challenges to concept-based image indexing. It analyzes the characteristics of social classification and compares images described by users to a set of images indexed in a digital collection. Findings - The article finds that user-generated metadata vary in the level of description, accuracy, and consistency and do not provide a solution to the challenges of image indexing. On the other hand, they reflects user's language and can lead toward user-centered indexing and greater user engagement. Practical implications - Social tagging can be implemented as a supplement to professionally created metadata records to provide an opportunity for users to comment on images. Originality/value - The article introduces the idea of user-centered image indexing in digital collections. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1065075X
- Volume :
- 22
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- OCLC Systems & Services
- Publication Type :
- Academic Journal
- Accession number :
- 23584191
- Full Text :
- https://doi.org/10.1108/10650750610706998