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Analysing Creative Image Search Information Needs

Konkova, E., MacFarlane, A. and Goker, G. (2016). Analysing Creative Image Search Information Needs. Knowledge Organization: international journal devoted to concept theory, classification, indexing, and knowledge representation, 43(1),

Abstract

Creative professionals in advertising, marketing, design and journalism search for images to visually represent a concept for their project. The main purpose of this paper is to present search facets derived from an analysis of documents known as briefs, which are widely used in creative industries as requirement documents describing information needs. The briefs specify the type of image required, such as the content and context of use for the image and represent the topic from which the searcher builds an image query. We take three main sources—user image search behaviour, briefs, and image search engine search facets to examine the search facets for image searching in order to examine the following research question—are search facet schemes for image search engines sufficient for user needs, or is revision needed? We found that there are three main classes of user search facet, which include business, contextual and image related information. The key argument in the paper is that the facet “keyword/tag” is ambiguous and does not support user needs for more generic descriptions to broaden search or specific descriptions to narrow their search — we suggest that a more detailed search facet scheme would be appropriate.

Publication Type: Article
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
Related URLs:
URI: http://openaccess.city.ac.uk/id/eprint/13820
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