DSRank: A New Hyper-Linked Based Method to Rank Datasets in LOD Cloud

The increase of available datasets in web of data, causes the ranking of the datasets become very important. The present 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 has been considered and a new hyper-linked based approach name as DSRank is proposed. The suggested algorithm has been implemented on datasets through collecting from the web amounting to 20 GB. All of the datasets are arranged by using suggested method. In order to evaluate, the access log files of Dbpedia, DBTune, and Dog Food are used. The number of requests by users in one day for these datasets are 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 through using the proposed method is correct.