Investigating the degree of compatibility of the Structure and Features of the Islamic Sciences Thesauri with the Retrieval Thesauri

Document Type : Original Article

Authors

1 Assistant Professor, Islamic Sciences and Culture Academy- Islamic Information and Documentation Center, Qom, Iran.

2 M.A. of Knowledge and Information Science, Science and Research Branch, Islamic Azad University, Hamadan, Iran.

3 Assosiate Professor, Knowledge and Information Science, Allameh Tabataba'i University, Tehran, Iran.

Abstract

Purpose: To determine and explain the degree of compatibility of the structure and characteristics of Islamic sciences thesauri with the retrieval thesauri based on standard ISO 25964.
Methodology: The present study is applied in terms of purpose and survey-analytical research method. The data collection tool is a researcher-made checklist. The research population includes descriptors of Islamic science thesauri. To analyze the data, descriptive statistics such as mean and standard deviation and in inferential statistics section, one-sample t-test, Friedman test and Kolmokrov-Smirnov test with the help of SPSS software were used.
Findings: Based on the data, the highest rate of conformity with the standard was seen in the display manner with an average of 80.87%, followed by the depth of semantic relations with a total average of 70.00%, Proximity of terms in natural language with an average of 24.12%, the degree of concordance of non-preferred terms related to each preferred term (22.25%), Quantity and content of domain notes (19.87%), and The lowest level of conformity to the expressive part of the signs indicating relationships (19.37%).
Conclusion: The results showed that the Islamic Sciences thesauri were in high level of compliance with the standard of Retrieval thesauri. Based on the findings, there is a significant difference between the structure and characteristics of Islamic thesauri and retrieval thesauri.
 
 

Keywords

References

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Sciences and Techniques of Information Management
Volume 6, Issue 3
November 2020
Pages 131-157

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