Knowledge Retrieval and Semantic Systems

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Information Retrieval in the Web Environment (Case Study: Iranian Library Software)

Document Type : Research Paper

Authors

1 Associate Professor, Information Science and Knowledge Dept, Faculty of Psychology and Educational Sciences, Qom University, Qom, Iran

2 Master of Information Science and Knowledge, Qom University/ Psychology and Educational Sciences Department, Qom, Iran

3 Ph.D of Library and information science, Islamic Azad University, Hamedan Branch, Hamedan, Iran

Abstract

The purpose of this study was to evaluate the library software of Pars Azarakhsh, Simorgh, and Saman in terms of information retrieval features in the web environment. The present study is applied type. The statistical population consists of Pars Azarakhsh, Simorgh, and Saman library software. To measure, review, identify and evaluate the dimensions of the research, the status of library software in 5 indicators was reviewed and analyzed. The data of this research were collected by observing the software website and using the opinions of the software experts and were analyzed using descriptive statistical methods. Findings showed that in the field of search capabilities in various fields, Pars Azarakhsh with 98.85% points, and Saman and Simorgh with 96.55% points obtained the highest and lowest scores. In the section of various search formulations, Simorgh and Pars Azarakhsh with 100% points and Saman software with 83.34% points obtained the highest and lowest scores. In other types of software searches, Pars Azarakhsh with 78.43% points, and Saman software with 76.97% points had the highest and lowest points. The results also showed that the studied software, in terms of retrieval and information retrieval features in the web environment, had good improvements over their previous versions and were able to meet more than 80% of the criteria studied in this study.

Keywords

References
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Knowledge Retrieval and Semantic Systems
Volume 9, Issue 30 - Serial Number 30
April 2022
Pages 67-92
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