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Towards user‐centered indexing in digital image collections

Towards user‐centered indexing in digital image collections 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png OCLC Systems & Services Emerald Publishing

Towards user‐centered indexing in digital image collections

Krystyna K. Matusiak
OCLC Systems & Services , Volume 22 (4): 16 – Oct 1, 2006
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16 pages

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Publisher
Emerald Publishing
Copyright
Copyright © 2006 Emerald Group Publishing Limited. All rights reserved.
ISSN
1065-075X
DOI
10.1108/10650750610706998
Publisher site
See Article on Publisher Site

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.

Journal

OCLC Systems & Services – Emerald Publishing

Published: Oct 1, 2006

Keywords: Digital storage; Collections management; Image processing; Indexing

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