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Reference author: Semih Salihoglu
First name
Semih
Last name
Salihoglu
Salihoglu, S. . (2015). Massive-Scale Processing of Record-Oriented and Graph Data. Retrieved from https://searchworks.stanford.edu/view/11371692
Ammar, K. ., Sahu, S. ., Salihoglu, S. ., & Ozsu, T. . (2022). Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs. ArXiv, abs/2208.00273. https://doi.org/10.48550/arXiv.2208.00273
Liu, C. ., Usta, A. ., Zhao, J. ., & Salihoglu, S. . (2023). Governor: Turning Open Government Data Portals Into Interactive Databases. Governor: Turning Open Government Data Portals Into Interactive Databases Primary Tabs View. Presented at the. https://doi.org/10.1145/3544548.3580868
Liu, C. ., Usta, A. ., Zhao, J. ., & Salihoglu, S. . (2023). Governor: Turning Open Government Data Portals Into Interactive Databases. Governor: Turning Open Government Data Portals Into Interactive Databases. Presented at the. https://doi.org/10.1145/3544548.3580868
Liu, C. ., Usta, A. ., Zhao, J. ., & Salihoglu, S. . (2023). Governor: Turning Open Government Data Portals Into Interactive Databases. Governor: Turning Open Government Data Portals Into Interactive Databases. Presented at the. https://doi.org/10.1145/3544548.3580868
Usta, A. ., & Salihoglu, S. . (2023). To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals. To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals. Presented at the. Retrieved from https://ceur-ws.org/Vol-3462/TADA5.pdf
Chen, J. ., Huang, Y. ., Wang, M. ., Salihoglu, S. ., & Salem, K. . (2023). Accurate Summary-Based Cardinality Estimation Through the Lens Of Cardinality Estimation Graphs. SIGMOD Record, 52, 94-102. https://doi.org/10.1145/3604437.3604458
Salihoglu, S. . (2023). K\ uzu: A Database Management System for "Beyond Relational" Workloads. SIGMOD Record, 52, 39-40. https://doi.org/10.1145/3631504.3631514
Usta, A. ., Liu, C. ., & Salihoglu, S. . (2024). Analysis of Open Government Datasets From a Data Design and Integration Perspective. Analysis of Open Government Datasets From a Data Design and Integration Perspective. Presented at the. https://doi.org/10.48786/EDBT.2024.30