Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b of Data has grown enormously over the last years. Currently, it comprises a large compendium of interlinked and distributed datasets from multiple domains. Running complex queries on this compendium often requires accessing data from different endpoints within one query. The abundance of datasets and the need for running complex query has thus motivated a considerable body of work on SPARQL query federation systems, the dedicated means to access data distributed over the b of Data. Hover, the granularity of previous evaluations of such systems has not allod deriving of insights concerning their behavior in different steps involved during federated query processing. In this work,  perform extensive experiments to compare state-of-the-art SPARQL endpoint federation systems using the comprehensive performance evaluation framework Fed- Bench. In addition to considering the tradition query runtime as an evaluation criterion,  extend the scope of our performance evaluation by considering criteria, which have not been paid much attention to in previous studies. In particular,  consider the number of sources selected, the total number of SPARQL ASK requests used, the completeness of ansrs as ll as the source selection time. Yet,  show that they have a significant impact on the overall query runtime of existing systems. Moreover,  extend FedBench to mirror a highly distributed data environment and assess the behavior of existing systems by using the same performance criteria. As the result  provide a detailed analysis of the experimental outcomes that reveal novel insights for improving current and future SPARQL federation systems.
['Muhammad Saleem', 'Yasar Khan', 'Ali Hasnain', 'Ivan Ermilov', 'Axel-Cyrille Ngonga Ngomo']
I am writing a research paper on a idea A fine-grained evaluation of SPARQL endpoint federation systems
[{"from": "human", "value": "I am writing a research paper on a idea A fine-grained evaluation of SPARQL endpoint federation systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b of Data has grown enormously over the last years. Currently, it comprises a large compendium of interlinked and distributed datasets from multiple domains. Running complex queries on this compendium often requires accessing data from different endpoints within one query. The abundance of datasets and the need for running complex query has thus motivated a considerable body of work on SPARQL query federation systems, the dedicated means to access data distributed over the b of Data. Hover, the granularity of previous evaluations of such systems has not allod deriving of insights concerning their behavior in different steps involved during federated query processing. In this work,  perform extensive experiments to compare state-of-the-art SPARQL endpoint federation systems using the comprehensive performance evaluation framework Fed- Bench. In addition to considering the tradition query runtime as an evaluation criterion,  extend the scope of our performance evaluation by considering criteria, which have not been paid much attention to in previous studies. In particular,  consider the number of sources selected, the total number of SPARQL ASK requests used, the completeness of ansrs as ll as the source selection time. Yet,  show that they have a significant impact on the overall query runtime of existing systems. Moreover,  extend FedBench to mirror a highly distributed data environment and assess the behavior of existing systems by using the same performance criteria. As the result  provide a detailed analysis of the experimental outcomes that reveal novel insights for improving current and future SPARQL federation systems."}]