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Articles 91 - 95 of 95
Full-Text Articles in Cataloging and Metadata
Publication Pattern Of Ifla Journal (2013-2019): A Bibliometric Assessment, Prerna Singh, Harish Chander
Publication Pattern Of Ifla Journal (2013-2019): A Bibliometric Assessment, Prerna Singh, Harish Chander
Library Philosophy and Practice (e-journal)
The present study evaluates the publication trends of IFLA Journal for the period 2013-2019. Using bibliometric techniques 189 articles of seven volumes of the source journal were examined in terms to identify chronological distribution, authorship pattern and gender distribution, mapping of subjects, types of document cited, ranking of authors etc. The results highlight that majority of contributions have been made by female authors and huge amount of authors were affiliated to the universities. Most of the contributed articles were research papers and US is the top contributor among others. The bibliometric assessment provides the picture of growth of journal in …
Accessibility And Discoverability. A Report On The Alcts Camms Catalog Form And Function Interest Group Meeting, Kelsey George
Accessibility And Discoverability. A Report On The Alcts Camms Catalog Form And Function Interest Group Meeting, Kelsey George
Library Faculty Research
No abstract provided.
An Introduction To Blockchain Technology And Its Application In Libraries, Anubhaw Suman , Research Scholar, Mgcub, Madhu Patel , Assistant Professor, Mgcub
An Introduction To Blockchain Technology And Its Application In Libraries, Anubhaw Suman , Research Scholar, Mgcub, Madhu Patel , Assistant Professor, Mgcub
Library Philosophy and Practice (e-journal)
The concept of blockchain technological came into existence from the first cryptocurrency, Bitcoin. It is a very new, complex and trusted technology, and researchers are working continuously to find a way to apply this disruptive technology in different areas. This paper discusses a brief concept about the blockchain and the application of blockchain technology in libraries & information centres to enhance better library and information services in the future, as well as at present. This paper provides a basic understanding of blockchain technology, like what blockchain and blockchain technology is, its features, advantages, types, and how it will be helpful …
Large Scale Subject Category Classification Of Scholarly Papers With Deep Attentive Neural Networks, Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles
Large Scale Subject Category Classification Of Scholarly Papers With Deep Attentive Neural Networks, Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles
Computer Science Faculty Publications
Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category classification is a prerequisite for bibliometric studies, organizing scientific publications for domain knowledge extraction, and facilitating faceted searches for digital library search engines. Unfortunately, many academic papers do not have such information as part of their metadata. Most existing methods for solving this task focus on unsupervised learning that often relies on citation networks. However, a complete list of papers citing the current paper may not be readily available. In particular, new papers that have few …
Automatic Metadata Extraction Incorporating Visual Features From Scanned Electronic Theses And Dissertations, Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, Edward A. Fox
Automatic Metadata Extraction Incorporating Visual Features From Scanned Electronic Theses And Dissertations, Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, Edward A. Fox
Computer Science Faculty Publications
Electronic Theses and Dissertations (ETDs) contain domain knowledge that can be used for many digital library tasks, such as analyzing citation networks and predicting research trends. Automatic metadata extraction is important to build scalable digital library search engines. Most existing methods are designed for born-digital documents, so they often fail to extract metadata from scanned documents such as ETDs. Traditional sequence tagging methods mainly rely on text-based features. In this paper, we propose a conditional random field (CRF) model that combines text-based and visual features. To verify the robustness of our model, we extended an existing corpus and created a …