Search (8 results, page 1 of 1)

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Abstract

Purpose - This paper seeks to report a project to investigate the degree of inter-indexer consistency in the assignment of controlled vocabulary topical subject index terms to identical graphical images by different indexers at the National Library of Wales (NLW). Design/methodology/approach - An experimental quantitative methodology was devised to investigate inter-indexer consistency. Additionally, the project investigated the relationship, if any, between indexing exhaustivity and consistency, and the relationship, if any, between indexing consistency/exhaustivity and broad category of graphic format. Findings - Inter-indexer consistency in the assignment of topical subject index terms to graphic materials at the NLW was found to be generally low and highly variable. Inter-indexer consistency fell within the range 10.8 per cent to 48.0 per cent. Indexing exhaustivity varied substantially from indexer to indexer, with a mean assignment of 3.8 terms by each indexer to each image, falling within the range 2.5 to 4.7 terms. The broad category of graphic format, whether photographic or non-photographic, was found to have little influence on either inter-indexer consistency or indexing exhaustivity. Indexing exhaustivity and inter-indexer consistency exhibited a tendency toward a direct, positive relationship. The findings are necessarily limited as this is a small-scale study within a single institution. Originality/value - Previous consistency studies have almost exclusively investigated the indexing of print materials, with very little research published for non-print media. With the literature also rich in discussion of the added complexities of subjectively representing the intellectual content of visual media, this study attempts to enrich existing knowledge on indexing consistency for graphic materials and to address a noticeable gap in information theory.

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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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Abstract

Purpose - This study aims to consider the value of user-assigned image tags by comparing the facets that are represented in image tags with those that are present in image queries to see if there is a similarity in the way that users describe and search for images. Design/methodology/approach - A sample dataset was created by downloading a selection of images and associated tags from Flickr, the online photo-sharing web site. The tags were categorised using image facets from Shatford's matrix, which has been widely used in previous research into image indexing and retrieval. The facets present in the image tags were then compared with the results of previous research into image queries. Findings - The results reveal that there are broad similarities between the facets present in image tags and queries, with people and objects being the most common facet, followed by location. However, the results also show that there are differences in the level of specificity between tags and queries, with image tags containing more generic terms and image queries consisting of more specific terms. The study concludes that users do describe and search for images using similar image facets, but that measures to close the gap between specific queries and generic tags would improve the value of user tags in indexing image collections. Originality/value - Research into tagging has tended to focus on textual resources with less research into non-textual documents. In particular, little research has been undertaken into how user tags compare to the terms used in search queries, particularly in the context of digital images.

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Abstract

This article examines tagging as knowledge organization. Tagging is a kind of indexing, a process of labelling and categorizing information made to support resource discovery for users. Social tagging generally means the practice whereby internet users generate keywords to describe, categorise or comment on digital content. The value of tagging comes when social tags within a collection are aggregated and shared through a folksonomy. This article examines definitions of tagging and folksonomy, and discusses the functions, advantages and disadvantages of tagging systems in relation to knowledge organization before discussing studies that have compared tagging and conventional library-based knowledge organization systems. Approaches to disciplining tagging practice are examined and tagger motivation discussed. Finally, the article outlines current research fronts.

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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

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Abstract

Purpose - The purpose of this paper is to examine and discuss the classification of commercial popular music when large digital collections are organised for use in films. Design/methodology/approach - A range of systems are investigated and their organization is discussed, focusing on an analysis of the metadata used by the systems and choices given to the end-user to construct a query. The indexing of the music is compared with a check-list of music facets which has been derived from recent musicological literature on semiotic analysis of popular music. These facets include aspects of communication, cultural and musical expression, codes and competences. Findings - In addition to bibliographic detail, descriptive metadata are used to organise music in these systems. Genre, subject and mood are used widely; some musical facets also appear. The extent to which attempts are being made to reflect these facets in the organization of these systems is discussed. A number of recommendations are made which may help to improve this process. Originality/value - The paper discusses an area of creative music search which has not previously been investigated in any depth and makes recommendations based on findings and the literature which may be used in the development of commercial systems as well as making a contribution to the literature.

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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.