Publishing Persian Linked Data; Challenges and Lessons Learned

سال انتشار: 1389
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 159

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شناسه ملی سند علمی:

JR_ITRC-2-3_002

تاریخ نمایه سازی: 23 فروردین 1401

چکیده مقاله:

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.

نویسندگان

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