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.
کلیدواژه ها:
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