Title of article
Proposing a Knowledge Organization Model for Iranian Website Content Based on Existing Metadata Frameworks
Author/Authors
Moosavi, Sara Ph.D. Student - Information Science and Knowledge studies - Faculty of Psychology & Education - Kharazmi University, Tehran, Iran , Ciruskabiri, Sepideh PhD Candidate - Knowledge Management - Tarbiat modares University, Tehran, Iran , Varnaseri, Ahmadreza PhD Candidate - Information Science and Knowledge - Information Retrieval and Knowledge - Faculty of Management - University of Tehran, Tehran, Iran
Pages
11
From page
47
To page
57
Abstract
This study aims to create an integrated metadata system to organize information and content knowledge of Iranian websites to protect, represent, access, retrieve and provide a suitable metadata model for archiving such resources in the country. This applied research was done by a documentary (library) and a survey method. In the initial study, the world's leading patterns in web archiving were selected, then metadata elements were extracted from the official site of each template and refined and homogenized in the comparative table. The research tool, a questionnaire including the description of each metadata element and the importance of its existence in describing web content was provided to information science experts. Due to the indigenous needs, open tables were allocated to record them. To organize the content knowledge of Iranian websites, thirty-eight metadata elements were prioritized and evaluated by information science experts. knowledge organization of web content will strengthen the representation, facilitate retrieval and prevent content loss when it is based on the standard and integrated metadata templates while increasing user satisfaction. In this research, information science experts have recognized that the metadata elements of Title, Subject, Creator, and Format are more important.
Keywords
Web Archiving , Metadata elements , Knowledge organization , Iranian websites
Journal title
International Journal of Knowledge Processing Studies
Serial Year
2022
Record number
2731229
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