Iranian Journal of Information Processing & Management (Dec 2020)
Knowledge organization discovering & visualizing prominent patterns, hidden relationships & subjects Trends
Abstract
The purpose of the present study is around knowledge organization, and it aims to discover and visualize its prominent patterns, hidden relationships, and thematic trends in the world. The research type is an applied one with an analytical approach, and it has done using co-word analysis. The population of this study consists of knowledge organization articles’ keywords indexed during 1975-2018 in Web of Science (WoS). The total numbers of the retrieved and analyzed keywords in this study were 27124 and in this study, some software like SPSS, BibExcel, UCINET, NetDraw, VOSViewer and SPSS used for data integration and analysis. The findings showed that during the first period (1975-1999), the keyword “information technology,” and during the second period (2000-2018), the keyword “information literacy” has had the highest frequency. Also, the results of computing density and centrality scores showed that during the first period, cluster 5, which is “knowledge management,” with the number of 5.500 had the highest centrality, cluster 7 “strategic planning” with 0.4804 had the highest density and finally, during 2000 -2018 period, cluster 1 “User instruction” with 6.258 centrality has the highest centrality among clusters. The results also show that over time, topics such as “cataloging and indexing” have declined, and keywords such as “information technology,” “ontology,” and “E-government” have been increasing. The results of inclusion indexing showed that 32% of the subjects in the second period were also present in the first period. The results of the strategic diagram indicate that clusters “information retrieval,” “Expert system-Information retrieval,” “user instruction,” and information systems’ management” are the main issues and clusters with a high co-occurrence. “User instruction,” “uncertainty health information behavior,” “information behavior,” “metrics studies,” “classification and indexing,” “computer cataloging and data mining,” are the significant clusters in the second period. Knowledge organization as an essential pillar of information science, the period studied (1900-2018), the keywords and search strategy that resulted in consulting experts, as well as the outstanding findings, are all part of the innovation of the article.
