Search (4 results, page 1 of 1)

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Abstract

The term "tagging" is widely used for the assigning of terms to information objects in user-driven websites, although a cursory examination of such websites suggests that the communicative functions undertaken by taggers are not always driven by concerns about inter-subjective informative communication. At the heart of the debate about social indexing are issues relating to meaning and interpretation. Even where the intention is to assign informative tags, there is an issue about the relationship between the modality of an information object and its subsequent interpretation in historical time. This paper tests a model of image modality using four test images, which are interpreted and tagged by a group of distance learner students at the Department of Information Studies, Aberystwyth University. The results are described, and the implications are discussed. Overall, this limited exercise suggests that the modality model might be of some use in categorizing images within an image IR system. The exercise also suggests that leaving annotation and tagging entirely to users could lead to information loss over time. Finally, the exercise suggests that developing a retrieval tool using genre and the intertextual nature of multimedia objects might lead to the construction of rich, knowledge based systems.

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Abstract

The aims of this paper are twofold: to offer a short history of image retrieval, and secondly and relatedly, to critique the metanarrative of modernity emerging in the literature of knowledge organization and information retrieval. The paper re-views the emerging grand narrative in relation to knowledge or-ganization and information retrieval that sees them as specific aspects of modernity and technological efficiency. This grand narrative is particularly interested in technology even when it is contextualising technology. A more nuanced history emerges when the focus moves to the representation, organization, and retrieval of images. This literature foregrounds not only the tech-nology but also issues relating to definitions of the "subject" and issues relating to interpretation and meaning-making.

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Abstract

Purpose - The purpose of this conceptual paper is to consider the possibility of designing a story-based image indexing system based on users' descriptions of images. It reports a pilot study which uses users' descriptions of two images. Design/methodology/approach - Eight interviews were undertaken to investigate storytelling in user interpretations of the images. Following this, storytelling was explored as an indexing input method. In all, 26 research subjects were asked to create stories about the images, which were then considered in relation to conventional story elements and in relation to Hidderley and Rafferty's (2005) image modality model. Findings - The results of the semi-structured interviews revealed that the majority of interpretations incorporated story elements related to setting, character, plot, literary devices, and themes. The 52 image stories included story elements identified in the first part of the project, and suggested that the image modality model is robust enough to deal with the "writerly" images used in this study. In addition, using storytelling as an input method encourages the use of verbs and connotative level responses. Originality/value - User indexing is generally based on paradigmatic approaches to concept analysis and interpretation in the form of tagging; the novelty of the current study is its exploration of syntagmatic approaches to user indexing in the form of storytelling. It is a pilot, proof of concept study, but it is hoped that it might stimulate further interest in syntagmatic approaches to user indexing.

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Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik