Topics and changing characteristics of knowledge organization research in the 21st century: a content analysis

• Published in: Journal of documentation Vol. 79; no. 2; pp. 487 - 508
• Main Authors: Si, Li, He, Yi, Liu, Li
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Group Publishing Limited 06.03.2023
• Subjects: Bibliographic Databases; Bibliometrics; Big Data; Cataloging; Cataloging rules; Classification; Classification schemes; Coding; Conference Papers; Content analysis; Data mining; Electronic Libraries; Empirical analysis; Environment; Glossaries; Indexing; Information Management; Interoperability; Knowledge organization; Knowledge representation; Libraries; Literature Reviews; Metadata; Multilingualism; Ontology; Periodicals; Query expansion; Reference Materials; Research methodology; Semantic web; Semantics; Semiotics; Subject heading schemes; Taxonomy; Terminology; Trends; Vocabularies & taxonomies
• ISSN: 0022-0418; 1758-7379
• DOI: 10.1108/JD-05-2022-0101

PurposeKnowledge organization (KO) has been advancing at a progressively rapid pace under the influence of information technology. This study aims to explore the topics, characteristics, and trends of KO research in the 21st century.Design/methodology/approachThe full text of 4,360 KO-related articles published from 2000 to 2021 is collected. Through content analysis, this study identifies the topics, research methods, and application areas of each article, and the statistics are presented through a series of visualizations.FindingsIn total, 13 main topics, 105 sub-topics, 16 research methods, and 57 application areas are identified. Notably, classification has always been an important topic, while linked data, automated techniques, and ontology have become popular topics recently. Significant changing features have also occurred. The versatile use of research methods has increased, with empirical research becoming the mainstream. Application areas show a trend of refinement from subject areas to specific scenarios. Construction techniques present a combination of automated techniques, crowdsourcing, and experts.Originality/valueKO has evolved and diversified due to technological developments. This study is the first to focus on the continuous changing features over an extended, 21-year period, as opposed to sampling a few years. It also provides clues and insights for researchers and practitioners interested in KO to understand how it has changed in the Semantic Web and big data context.