Visualizing of the structure of subject trends in Persian articles published during 2008-2012 in information organization domain

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• 作者：Maryam Mousavizadeh ; Masume Bagheri ; Mansure Bagheri ; Masume Karbala aghaie Kamran
• 关键词：Information organization ; Semantic map ; Term weighting ; Co-term analysis ; Term relationships ; Subject trends ; Information visualization ; Cataloging ; Ontologies ; Information retrieval
• 刊名：International Information & Library Review
• 出版年：December, 2013
• 年：2013
• 卷：45
• 期：3-4
• 页码：157-167
• 全文大小：2176 K

文摘

This research investigates structure of the subject trends in the Persian articles published during the period of 2008-2012 about 鈥渋nformation organization鈥?in Iranian journals and creates a semantic map for this domain. This structure has been considered in two sections: First, the weight of each subject term used in articles was indicated, and then the relationships amounts of terms were measured. Content analysis and weighting were used in the first section. The Vector Space Model formula was used in order to weight terms. In the second section, Co-term analysis was used, that is, the number of co-occurrence of any two terms in the same article. Then the term/document occurrence matrix of these terms was created and at last the relations significant between terms were measured by Pearson Correlation Coefficient. To illustrate the structure of information organization domain, Ucinet software was used. Findings show that high-weight categories in Persian articles are: 鈥渃ataloging鈥? 鈥渋nformation retrieval鈥? 鈥渋nformation systems鈥?and 鈥渁uthority files鈥? Furthermore through weighting, determined that in trends rate aspect, the terms 鈥渙ntologies鈥? 鈥渃ataloging鈥? 鈥渆valuation鈥? 鈥淒ewey Decimal Classification鈥? 鈥渇ields鈥? 鈥渓ibraries and information centers鈥?and 鈥渄escriptors鈥? 鈥淔unctional Requirements for Bibliographic Records鈥? 鈥渕etadata elements鈥?and 鈥淣ational library and archives of I.R. of Iran鈥?are 10 highest-weight terms. Research findings about the relationships of terms show attention to 鈥渃ataloging鈥?by 鈥淚FLA鈥?and 鈥淣ational library and archives of Iran鈥?and critical approach to this subject. Some other findings about this show: 鈥渋ndexing鈥?are considered by cataloging and thesauri, 鈥渕etadata鈥?are considered in web-based and information retrieval points of view, 鈥渙ntologies鈥?term is considered in approach of basic concepts, tools and relevance, and attention to some organizations such as 鈥淚FLA鈥?and 鈥淣ational library and archives organization of Iran鈥?besides 鈥渦sers鈥?and their information needs. In terms of weighting and relationships between the subject terms in Persian articles, 鈥渃ataloging鈥?is in the center of information organization domain. The semantic map of information organization in Persian articles illustrates three region of subject area including: 1. Cataloging, 2. Ontologies, thesauri and information retrieval, and 3. Metadata and information retrieval.