A preliminary investigation of image indexing: the influence of domain knowledge, indexer experience and image characteristics

Authors

Joan E. Beaudoin, Drexel UniversityFollow

Document Type

Conference Proceeding

Abstract

This study investigates the application of conceptual terms to images by individuals with various educational and occupational backgrounds. While the inherent complexities of applying terms to images are broadly acknowledged, few studies have addressed the issue of how subject expertise or practical image indexing experience may impact the work. This study begins work in this direction by examining the terms applied to a series of images by individuals with different levels of domain knowledge and practical indexing experience. In addition to the indexers’ varying backgrounds, the study examined how the images’ modes of representation and interpretation influenced the application of terms.

Disciplines

Library and Information Science

Comments

NOTICE IN COMPLIANCE WITH PUBLISHER POLICY: This is the author’s final accepted manuscript of a paper subsequently presented and published in the Proceedings of the 19^th Workshop of the American Society for Information Science and Technology Special Interest Group in Classification Research. It has been formatted for archiving. Pagination added for this version.

Recommended Citation

Beaudoin, J. (2008). The influence of domain knowledge, indexer experience and image type on image indexing. Proceedings of the 19th Workshop of the American Society for Information Science and Technology (ASIST) Special Interest Group in Classification Research.