Towards Prescriptive Analyses of Querying Large Knowledge Graphs
Published in 26th International Conference on Advances in Databases and Information Systems, 2022
Recommended citation: Ragab, M. (2022). Towards Prescriptive Analyses of Querying Large Knowledge Graphs. In: Chiusano, S., et al. New Trends in Database and Information Systems. ADBIS 2022. Communications in Computer and Information Science, vol 1652. Springer, Cham. https://doi.org/10.1007/978-3-031-15743-1_59 https://link.springer.com/content/pdf/10.1007/978-3-031-15743-1_59.pdf?pdf=inline%20link
In this paper, we discuss how our work fills this timely research gap. Particularly, we investigate how to enable prescriptive analytics via ranking functions (called “BenchRank”). We present a research plan that builds on the state-of-the-art benchmarking efforts in the area of querying large RDF graphs. Finally, we present our research results of the proposed plan.