DSRank: A New Hyper-Linked Based Method to Rank Datasets in LOD Cloud
Publish place: majlesi Journal of Electrical Engineering، Vol: 7، Issue: 4
Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_MJEE-7-4_009
تاریخ نمایه سازی: 3 آبان 1402
Abstract:
With an increase of available datasets in web of data, ranking the datasets will be of prime importance. In this article, the famous PageRank algorithm is extended and a new link-based method is proposed for ranking the datasets in web of data. In this method, the number of links to the dataset, the type of the links, and the number of each type of the links have been considered and a new hyper-linked based approach name as DSRank is proposed. The suggested algorithm has been implemented on datasets collected from the web amounting to ۲۰ GB. All of the datasets is arranged using suggested method. For evaluation, the access log files of Dbpedia, DBTune, and Dog Food is used. Number of requests by users in one day for these datasets is calculated and then datasets are organized based on user’s opinion. The results of comparing our suggested algorithm with the number of the requests by the users in a day indicate that the order of the assigned ranks in the dataset using the proposed method is correct.
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Authors
Hamidreza Fardad
Depeartment of Electrical And Computer Engineering, Islamic Azad University, Isfahan, Iran
Hadi Khosravi-Farsani
Department of Computer Engineering, Shahrekord University, Shahrekord, Iran
Mohammadali Nematbakhsh
Department of Computer Engineering, Isfahan University, Isfahan, Iran
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