Investigating the Application of Semantic web layers in management systems of Iranian Journals

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The aim of this study was to investigate the structure and presence of semantic web layers in the journal management systems of the country, which is applied in terms of purpose and in terms of data collection, has been done by survey method and descriptive approach. The statistical population of the study constitutes all active systems of Iranian journals. In this study, a checklist was used to collect data and data analysis was performed using SPSS software. Studies on the structure of the semantic technology architecture of journal management systems in the field of information retrieval showed that the neo-scriber system (Kowsar) has gained the first rank among the 5 systems studied; And Semina and Yektaweb systems were in the second place. It was also observed that among the semantic web layers, the URI layer had the highest presence and the RDF layer had the lowest presence in journal management systems. Chi-square test results showed that there was no significant difference between the presence of semantic web layers in different journal management systems. It seems that the use of semantic web in information storage aretrieval systems in the information society is an important issue that should be paid more attention than before and the necessary infrastructure to use these technologies Created. Journal management systems that have taken good measures in this regard so far need to do their best to use this technology in order to provide decent services to the scientific community.

Language:
Persian
Published:
Journal of Information Processing and Management, Volume:38 Issue: 1, 2022
Pages:
89 to 108
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