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Publishing Persian Linked Data; Challenges and Lessons Learned

عنوان مقاله: Publishing Persian Linked Data; Challenges and Lessons Learned
شناسه ملی مقاله: JR_ITRC-2-3_002
منتشر شده در در سال 1389
مشخصات نویسندگان مقاله:

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

خلاصه 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.

کلمات کلیدی:
Linked Data, Persian Dataset, LOD cloud, RDF, challenges and Solutions

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1426604/