International Journal of Knowledge Processing Studies
Online ISSN: 2783-4611

Proposing a Knowledge Organization Model for Iranian Website Content Based on Existing Metadata Frameworks

Document Type : Original Research Manuscripts

Authors

Seyedeh Sara Moosavi 1
Sepideh Ciruskabiri 2
Ahmadreza Varnaseri 3

1 Ph.D. Student, Information Science and Knowledge studies, Faculty of Psychology & Education, Kharazmi University, Tehran, Iran.

2 Ph.D. Candidate, Knowledge Management, Tarbiat Modares University, Tehran, Iran.

3 Ph.D. Candidate, Information Science and Knowledge_ Information Retrieval and Knowledge, Faculty of Management, University of Tehran, Tehran, Iran.

https://doi.org/10.22034/kps.2022.344828.1023
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
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International Journal of Knowledge Processing Studies
Volume 2, Issue 3
Summer 2022
Pages 47-57

  • Receive Date 29 May 2022
  • Revise Date 05 June 2022
  • Accept Date 29 June 2022

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