Visualization of the Information Organization domain: A Study of the structure of subject trends of Persian articles on the Information Organization domain

Document Type : Research Article

Authors

• maryam mousavizadeh
• mansure Bagheri
• masume Karbala Aghaii Kamran

Alzahra University

10.22067/riis.v4i2.23888

Abstract

Purpose: The aim of this research was to investigate the subject trends structure of information organization articles in Iranian library and information science journals between 1384-1388 and providing its semantic map.
Methodology: The subject trends structure was studied in two sections: First, the weight of each subject term used in information organization articles was identified, and then the relationships rate of terms measured. Content analysis and weighting technique were used for the first section and co-term analysis was used for the second section. Then term/document occurrence matrix of these terms was created. In addition, the significance of relations among terms was measured by Pearson Correlation Coefficient. With input weighting and relationship data in Ucinet software, the term structure of information organization field was visualized.
Findings: Findings show that high-weight categories are: “Authority files”, “Indexing”, “Classification”. Research findings about terms relationships shows that the term “Classification” is considered in theoretical approach. Also, the term “metadata” and its narrower concepts are considered in web-based and information retrieval approaches. Also, the term “Indexing” is considered in web-based and automatic approach. Also the term “Indexing” is at the center of the information organization field. Semantic map of information organization in Persian articles illustrated three regions of subject areas including: 1. metadata, web and IR, 2. Thesauri, and 3. Cataloging and indexing.

Keywords

• Information Organization
• Semantic map
• Term Weighting
• Co-term analysis
• Term relationships
• Structure of subject trends
• Information visualization
• Indexing
• Classification
• cataloging
• Metadata

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