A Journey Through the Triad of Knowledge Sciences

Abstract

This article offers a critical review of Knowledge Sciences: From Data to Metrics by Dr. Khaled Abdel Fattah Mohamed, published in Dubai by Qindeel Printing, Publishing and Distribution under the patronage of the Mohammed Bin Rashid Al Maktoum Knowledge Foundation. The reviewed book approaches knowledge sciences from a multidisciplinary perspective that brings together data science, information science, knowledge management, reading, and scholarly metrics, seeking to construct an integrated framework that traces the progression from raw data to information, knowledge, and the measurement of scientific and societal impact.   The review examines the book’s seven-chapter structure. It discusses its treatment of data science, big data, and the Fourth Industrial Revolution; linked and semantic data and Semantic Web technologies; information science, information sources, information needs, and information behavior; the sources and historical development of knowledge societies; knowledge management and its institutional and societal models, including the role of artificial intelligence; reading and literacy as mechanisms of knowledge acquisition; and scholarly metrics, including bibliometrics, altmetrics, and different levels of research-impact measurement.   The review emphasizes the practical value of the book through its discussion of institutional models, linked data, knowledge management, and impact measurement, while connecting these themes with library and information science, education, and scientific research. The reviewer considers the work both original in its conceptual grounding and contemporary in its treatment of digital transformation and artificial intelligence, describing it as a valuable contribution to the scientific and intellectual literature. At the same time, the review suggests that future editions could benefit from deeper critical and interactive treatment, broader international comparisons and models, expanded coverage of Semantic Web and artificial intelligence applications, and possibly separate works devoted to major themes such as reading and scholarly metrics.