This research presents an exploratory and descriptive study on the use of knowledge organization processes and systems in the context of repositories, published in journals indexed in databases between 2015 and 2020. The authors of these papers do not necessarily publish in specific events and journals in the Knowledge Organization area, but…

Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…

This research explored how gamification addresses cataloguing and classification education difficulties in Nigeria. It illustrates how library schools may utilize gamification to improve students' teaching and learning experiences using technology. A comprehensive review of the literature was carried out. Literature discoveries were then utilized…

Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…

This paper focuses on the analysis of Bebras Challenge tasks to find Informatics tasks that develop abstract thinking. Our study seeks to find which Bebras tasks develop abstraction and in what way. We analysed hundreds of tasks from the Czech contest to identify those tasks requiring participants to abstract directly or use abstract structures.…

In this paper, we analyze and categorize research related to Agile teaching and learning in Information Systems education using an existing conceptual framework. To this end, a systematic literature review beginning with 642 papers led to the identification of 30 relevant papers written in English and published through 2018 in academic IS outlets.…

This paper argues that medium for information access becomes central to library and information science. The author discusses the notion of medium, medium neutrality, and personalization and suggests that the dominating paradigm of providing fast, efficient, and neutral systems and services for retrieving information has sidetracked opportunities…

The intellectual origins of information organization (IO) as a field of study are examined by tracing the use of the terms, "information organization", "knowledge organization", "bibliographic control", and their variants, and by surveying the educational texts dealing with the various component activities of IO,…

Scholarship of teaching and learning plays an important role in informing educational practices in every discipline. The aim of this study was to identify the trends of research on library and information science (LIS) education. A total of 1,986 articles on LIS education published from 1999 to 2018 were retrieved from bibliographic databases…

Introduction: Faceted classification appears to be of utmost importance. Ersatz facets, resource faceting and tag faceting: The distinctions are drawn between facets and ersatz facets, and between faceted resources and faceted tags. Single tag resource faceting and multiple tag information object faceting: The basic features are explored of single…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…

Sequence classification is an important problem in many real-world applications. Unlike other machine learning data, there are no "explicit" features or signals in sequence data that can help traditional machine learning algorithms learn and predict from the data. Sequence data exhibits inter-relationships in the elements that are…

The purpose of this study is a comparative assessment of the development of mass higher education in the regions and countries on the basis of the results of Webometrics. Main tasks: Comparison of national educational systems in terms of the scale of mass higher education; assessment of the quality of mass higher education; study of the growth of…

Introduction: This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This…