Search (2 results, page 1 of 1)

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Abstract

This study explored how user-supplied tags can be applied to designing a thesaurus that reflects the unique features of image documents. Tags from the popular image-sharing Web site Flickr were examined in terms of two central components of a thesaurus-selected concepts and their semantic relations-as well as the features of image documents. Shatford's facet category and Rosch et al.'s basic-level theory were adopted for examining concepts to be included in a thesaurus. The results suggested that the best approach to Color and Generic category descriptors is to focus on basic-level terms and to include frequently used superordinate- and subordinate-level terms. In the Abstract category, it was difficult to specify a set of abstract terms that can be used consistently and dominantly, so it was suggested to enhance browsability using hierarchical and associative relations. Study results also indicate a need for greater inclusion of Specific category terms, which were shown to be an important tool in establishing related tags. Regarding semantic relations, the study indicated that in the identification of related terms, it is important that descriptors not be limited only to the category in which a main entry belongs but broadened to include terms from other categories as well. Although future studies are needed to ensure the effectiveness of this user-oriented approach, this study yielded promising results, demonstrating that user-supplied tags can be a helpful tool in selecting concepts to be included in a thesaurus and in identifying semantic relations among the selected concepts. It is hoped that the results of this study will provide a practical guideline for designing a thesaurus for image documents that takes into account both the unique features of these documents and the unique information-seeking behaviors of general users.

Theme

Konzeption und Anwendung des Prinzips Thesaurus

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Abstract

Purpose - The paper provides a theory base for deriving connotative descriptors for photographs from existing denotative descriptors, and then demonstrates a model for enhancing browsing within image collections by providing a tool for carving up the searching space. Design/methodology/approach - The paper conceptually explores the nature of iconic messages contained in an image by adopting semiotics as a theoretical tool. A problem of image retrieval is identified as loss of connotative messages during the image representation process. The paper proposes an image-retrieval model utilizing an association thesaurus that facilitates the assignment of connotative index terms by making use of denotative index terms of an image. A series of experiments are performed for evaluating the effectiveness of the proposed model. Findings - Experimental results demonstrate that the association thesaurus improves image-retrieval effectiveness by increasing the recall of connotatively related image documents as well as the recall of browsing sets. Practical implications - Applying connotative index terms to an image would be time consuming. Deriving connotative terms from denotative terms and then using them to enrich the browsing environment suggest a method of increasing retrieval effectiveness while reducing the resources required for representation. Originality/value - Since images are often used to illustrate concepts that are not immediately evident from just the objects in front of the lens, connotative descriptions are particularly valuable. Since human perception of images is, in a sense, hard wired into our brains, browsing is a frequent and reasonable search method in image collections. Using connotative descriptors to point the way to clusters of images with a higher probability of relevance changes the locus of control over representation establishes an environment for dynamic representation, and gives credibility to browsing as a significant search method.