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Content available
Article
Publication date: 24 May 2011

Emma McCulloch

107

Abstract

Details

Library Review, vol. 60 no. 5
Type: Research Article
ISSN: 0024-2535

Keywords

Content available
Book part
Publication date: 30 June 2020

Peter Williams

Abstract

Details

Learning Disabilities and e-Information
Type: Book
ISBN: 978-1-78973-152-1

Abstract

Details

Online Information Review, vol. 37 no. 3
Type: Research Article
ISSN: 1468-4527

Open Access
Article
Publication date: 8 December 2020

Matjaž Kragelj and Mirjana Kljajić Borštnar

The purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal Classification (UDC), using machine-learning methods.

2914

Abstract

Purpose

The purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal Classification (UDC), using machine-learning methods.

Design/methodology/approach

The general research approach is inherent to design science research, in which the problem of UDC assignment of the old, digitised texts is addressed by developing a machine-learning classification model. A corpus of 70,000 scholarly texts, fully bibliographically processed by librarians, was used to train and test the model, which was used for classification of old texts on a corpus of 200,000 items. Human experts evaluated the performance of the model.

Findings

Results suggest that machine-learning models can correctly assign the UDC at some level for almost any scholarly text. Furthermore, the model can be recommended for the UDC assignment of older texts. Ten librarians corroborated this on 150 randomly selected texts.

Research limitations/implications

The main limitations of this study were unavailability of labelled older texts and the limited availability of librarians.

Practical implications

The classification model can provide a recommendation to the librarians during their classification work; furthermore, it can be implemented as an add-on to full-text search in the library databases.

Social implications

The proposed methodology supports librarians by recommending UDC classifiers, thus saving time in their daily work. By automatically classifying older texts, digital libraries can provide a better user experience by enabling structured searches. These contribute to making knowledge more widely available and useable.

Originality/value

These findings contribute to the field of automated classification of bibliographical information with the usage of full texts, especially in cases in which the texts are old, unstructured and in which archaic language and vocabulary are used.

Details

Journal of Documentation, vol. 77 no. 3
Type: Research Article
ISSN: 0022-0418

Keywords

Open Access
Article
Publication date: 21 March 2023

Musawenkosi Phumelela Khomo, Nalindren Naicker, Collence Takaingenhamo Chisita and Mogiveny Rajkoomar

The purpose of this paper is to review the literature on factors that contribute to the successful development and use of the mobile digital library (DL). This aim will be…

2272

Abstract

Purpose

The purpose of this paper is to review the literature on factors that contribute to the successful development and use of the mobile digital library (DL). This aim will be achieved by reviewing selected journal articles on mobile DLs' successful development and use. This paper argues that the concept of DLs is evolving because of the dynamic nature of knowledge and technological developments in the infosphere.

Design/methodology/approach

A systematic literature search of journal article factors that contribute to the successful development and use of the mobile DL was accomplished by searching the following databases: Emerald insight, Science directory and Google Scholar. The systematic review was conducted following the preferred reporting items for systematic reviews and meta-analyses guidelines. This study applied Rogers's (1965) Diffusion of innovation theory to unpack the attributes of innovation to unpack contextual factors shaping African conceptions of mobile libraries (m-libraries). The studies reviewed were published from 2016 to 2021. This paper is based on a systematic literature review. This paper uses publicly available literature on the theme of DLs concerning m-libraries. Among the search terms used for the study were: “digital libraries”, “Africa and digital libraries”, “electronic libraries”, “information communication technologies”, “access to information” and “mobile digital libraries”.

Findings

Reviewed literature indicates that myriad factors can contribute positively or negatively to the successful development and use of the mobile DL. These factors include the degree of staff awareness and understanding of the potential of mobile technologies in enhancing the provision of library services, the availability of relevant digital content, library staff and users’ level of digital and information literacy competencies to navigate digital platforms, user friendliness of DL platforms, material and financial support to access m-libraries, power supply and access to internet connectivity.

Practical implications

The results from this study will generate knowledge and insight into the factors that affect the development and optimal use of mobile DLs to enhance and widen access to scholarly databases irrespective of time and space. This study will make recommendations that will enable South African policymakers to make informed decisions relating to the factors affecting the development and usage of mobile DLs for enhanced learning, teaching and education.

Originality/value

Given the growing number of scholarly publications on mobile DLs, this study seeks to discover how such technologies can help enhance learning, teaching and research in higher education. This study’s findings will provide a scientific basis for policymakers and researchers with evidence-based knowledge that raises the value of mobile DLs. It was discovered that if the identified factors are handled well, users can easily access tools, such as databases, electronic journals and online reference tools, and this could improve the quality of teaching and learning.

Content available
Article
Publication date: 7 April 2015

Heidi Hanson and Zoe Stewart-Marshall

239

Abstract

Details

Library Hi Tech News, vol. 32 no. 2
Type: Research Article
ISSN: 0741-9058

Content available
Article
Publication date: 23 January 2019

Rebecca Reynolds, Sam Chu, June Ahn, Simon Buckingham Shum, Preben Hansen, Caroline Haythornthwaite, Hong Huang, Eric M. Meyers and Soo Young Rieh

Many of today’s information and technology systems and environments facilitate inquiry, learning, consciousness-raising and knowledge-building. Such platforms include e-learning…

2512

Abstract

Purpose

Many of today’s information and technology systems and environments facilitate inquiry, learning, consciousness-raising and knowledge-building. Such platforms include e-learning systems which have learning, education and/or training as explicit goals or objectives. They also include search engines, social media platforms, video-sharing platforms, and knowledge sharing environments deployed for work, leisure, inquiry, and personal and professional productivity. The new journal, Information and Learning Sciences, aims to advance our understanding of human inquiry, learning and knowledge-building across such information, e-learning, and socio-technical system contexts.

Design/methodology/approach

This article introduces the journal at its launch under new editorship in January, 2019. The article, authored by the journal co-editors and all associate editors, explores the lineage of scholarly undertakings that have contributed to the journal's new scope and mission, which includes past and ongoing scholarship in the following arenas: Digital Youth, Constructionism, Mutually Constitutive Ties in Information and Learning Sciences, and Searching-as-Learning.

Findings

The article offers examples of ways in which the two fields stand to enrich each other towards a greater holistic advancement of scholarship. The article also summarizes the inaugural special issue contents from the following contributors: Caroline Haythornthwaite; Krista Glazewski and Cindy Hmelo-Silver; Stephanie Teasley; Gary Marchionini; Caroline R. Pitt; Adam Bell, Rose Strickman and Katie Davis; Denise Agosto; Nicole Cooke; and Victor Lee.

Originality/value

The article, this special issue, and the journal in full, are among the first formal and ongoing publication outlets to deliberately draw together and facilitate cross-disciplinary scholarship at this integral nexus. We enthusiastically and warmly invite continued engagement along these lines in the journal’s pages, and also welcome related, and wholly contrary points of view, and points of departure that may build upon or debate some of the themes we raise in the introduction and special issue contents.

Content available
Article
Publication date: 25 January 2008

504

Abstract

Details

Library Hi Tech News, vol. 25 no. 1
Type: Research Article
ISSN: 0741-9058

Content available
Article
Publication date: 26 June 2007

5858

Abstract

Details

Online Information Review, vol. 31 no. 3
Type: Research Article
ISSN: 1468-4527

Content available
Article
Publication date: 5 October 2015

Heidi Hanson and Zoe Stewart-Marshall

258

Abstract

Details

Library Hi Tech News, vol. 32 no. 8
Type: Research Article
ISSN: 0741-9058

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