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…

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.…

The growing amount of information in the world has increased the need for computerized classification of different objects. This situation is present in higher education as well where the possibility of effortless detection of similarity between different study courses would give the opportunity to organize student exchange programmes effectively…

This paper reports the results of a research about the strategies and difficulties developed by university students in the process of modeling and simulating of random phenomena in an environment of a spreadsheet. The results indicate that students had difficulties to identify key components of the problems, which are crucial to formulate a…

Purpose: The aim of this paper is to present a tool which uses semantic technologies for personnel performance and workplace learning assessment in outsourced information technology environments. Design/methodology/approach: The paper presents the tool from a technical perspective and introduces a use case that depicts the main features related to…

This article attempts to offer an overview of the current changes that are being experienced in the management of audio-visual documentation and those that can be forecast in the future as a result of the migration from analogue to digital information. For this purpose the documentary chain will be used as a basis to analyse individually the tasks…

Objective: This dissertation developed an automatic classification procedure, as an example of a novel tool for an informationist, which extracts information from published abstracts, classifies abstracts into their "fields of study," and then determines the researcher's "field of study" and "level of activity." …

A taxonomy for modeling information systems is presented. Epistemology is used as a prescriptive modeling basis and it is shown how the different models can be made scientifically operational by using a special kind of systems analysis. Results of a preliminary experiment based on one of the models are presented. (60 references) (Author/KE)

Surveys some of the basic concepts that have been used in computer science for the representation of knowledge and summarizes some of their advantages and drawbacks. Relates these techniques to information sciences theory and practice. Concepts are classified in four broad ontological categories: static ontology, dynamic ontology, intentional…

Analyzes the theoretical and the epistemological assumptions of information science. Topics include users and cognition; subject analysis; methods of classification; composition, semantics, and retrieval; the meaning of information; the typology of documents; information selection and research evaluation; and information specialists and…

The development of a new scheme for classifying the more than 7,000 documents on reading in the ERIC/CRIER data collection is described. An original scheme, developed in the early days of the clearinghouse, provided a means for listing documents in any of 45 broad subject categories in the field of reading and for identification by grade level.…

Introduces new procedures being used to extract knowledge from databases and discusses rationales for developing knowledge discovery methods. Methods are described for such techniques as classification, clustering, and the detection of deviations from pre-established norms. Examines potential uses of knowledge discovery in the information field.…

Includes abstracts of 18 special interest group (SIG) sessions. Highlights include natural language processing, information science and terminology science, classification, knowledge-intensive information systems, information value and ownership issues, economics and theories of information science, information retrieval interfaces, fuzzy thinking…

Published periodically by the United Nations Education, Social, and Cultural Organization (UNESCO) Department of Documentation, Libraries, and Archives, this edition contains information on: (1) recent meetings and publications relating to international documentation and library conventions; (2) an update of the information contained in the…

The bibliography is a compilation of annotated references on information sciences; conferences, symposia, reviews, supporting research, and STINFO (Scientific and Technical Information Project) activities and is volume IV in a four-volume set on information sciences. It is a revision to the unlimited references in the earlier bibliographies,…