Publishing Persian Linked Data; Challenges and Lessons Learned

Linked Data as an important and novel subject has attracted great attention in the realm of the Semantic Web. Many works deal with publishing existing datasets as Linked Data. This paper discusses the challenges of publishing Persian linked data, and their potential solutions, based on the experiences and lessons learned from a project focused on publishing some academic data of the Ferdowsi University of Mashhad as Linked Data.

Keywords:

Linked Data , Persian Dataset , LOD cloud , RDF , challenges and Solutions

Authors

Samad Paydar

Web Technology Lab., Dept. of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran

Mohsen Kahani

Web Technology Lab., Dept. of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran

Behshid Behkamal

Web Technology Lab., Dept. of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran

Mahboobeh Dadkhah

Web Technology Lab., Dept. of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran

Certificate
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لینک ثابت به این Paper:

https://civilica.com/doc/1426604

شناسه ملی سند علمی:

JR_ITRC-2-3_002

تاریخ نمایه سازی: 23 فروردین 1401

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:

Paydar, Samad and Kahani, Mohsen and Behkamal, Behshid and Dadkhah, Mahboobeh,1389, Publishing Persian Linked Data; Challenges and Lessons Learned ,https://civilica.com/doc/1426604

Scientometrics

The specifications of the publisher center of this Paper are as follows:

Ranking of Ferdowsi University of Mashhad

Type of center: دانشگاه دولتی

Paper count: 43,496

In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.