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Mohamed Ragab 0001
Person information
- affiliation: University of Southampton, School of Electronics and Computer Science, UK
- affiliation: Tartu University, Institute of Computer Science, Tartu, Estonia
- affiliation: Nahda University, Faculty of Computer Science, Benisuef, Egypt
Other persons with the same name
- Mohamed Ragab 0002 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
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2020 – today
- 2024
- [c17]Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Ruben Taelman, George Roussos:
Decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation. ICWE 2024: 49-64 - [c16]Mohamed Ragab, Yury Savateev, Helen Oliver, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
A Demonstration of Decentralized Search Over Solid Personal Online Datastores. WWW (Companion Volume) 2024: 1055-1058 - [c15]Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
Unlocking the Potential of Health Data with Decentralised Search in Personal Health Datastores. WWW (Companion Volume) 2024: 1154-1157 - [c14]Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos:
The 1st Workshop on Decentralised Search and Recommendation. WWW (Companion Volume) 2024: 1705-1708 - [c13]Nayil Arana, Mohamed Ragab, Thanassis Tiropanis:
An Investigation into the Feasibility of Performing Federated Learning on Social Linked Data Servers. WWW (Companion Volume) 2024: 1712-1714 - [i3]Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos:
DESERE: The 1st Workshop on Decentralised Search and Recommendation. CoRR abs/2403.07732 (2024) - 2023
- [c12]Mohamed Ragab, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
ESPRESSO: A Framework for Empowering Search on Decentralized Web. WISE 2023: 360-375 - 2022
- [c11]Mohamed Ragab:
Towards Prescriptive Analyses of Querying Large Knowledge Graphs. ADBIS (Short Papers) 2022: 639-647 - [i2]Mohamed Ragab, Adam Satria Adidarma, Riccardo Tommasini:
PAPyA: Performance Analysis of Large RDF Graphs Processing Made Easy. CoRR abs/2209.06877 (2022) - 2021
- [j1]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The future is big graphs: a community view on graph processing systems. Commun. ACM 64(9): 62-71 (2021) - [c10]Mohamed Ragab, Feras M. Awaysheh, Riccardo Tommasini:
Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks. IEEE BigData 2021: 241-251 - [c9]Mohamed Ragab, Riccardo Tommasini, Feras M. Awaysheh, Juan Carlos Ramos:
An In-depth Investigation of Large-scale RDF Relational Schema Optimizations Using Spark-SQL. DOLAP 2021: 71-80 - 2020
- [c8]Mohamed Ragab:
Large Scale Querying and Processing for Property Graphs. DOLAP 2020: 79-83 - [c7]Mohamed Ragab, Riccardo Tommasini, Sherif Sakr:
Comparing Schema Advancements for Distributed RDF Querying Using SparkSQL. ISWC (Demos/Industry) 2020: 30-34 - [c6]Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta, Emanuele Della Valle, Sherif Sakr:
A First Step Towards a Streaming Linked Data Life-Cycle. ISWC (2) 2020: 634-650 - [c5]Mohamed Ragab, Riccardo Tommasini, Sadiq Eyvazov, Sherif Sakr:
Towards making sense of Spark-SQL performance for processing vast distributed RDF datasets. SBD@SIGMOD 2020: 1:1-1:6 - [i1]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The Future is Big Graphs! A Community View on Graph Processing Systems. CoRR abs/2012.06171 (2020)
2010 – 2019
- 2019
- [c4]Sherif Sakr, Mohamed Ragab, Mohamed Maher, Ahmed Awad:
MINARET: A Recommendation Framework for Scientific Reviewers. EDBT 2019: 538-541 - [c3]Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta, Emanuele Della Valle, Sherif Sakr:
Bootstrapping the Publication of Linked Data Streams. ISWC (Satellites) 2019: 29-32 - [c2]Mohamed Ragab, Riccardo Tommasini, Sherif Sakr:
Benchmarking Spark-SQL under Alliterative RDF Relational Storage Backends. QuWeDa@ISWC 2019: 67-82 - 2017
- [c1]Mohamed Ragab Moaawad, Hoda M. O. Mokhtar, Haytham Tawfeek al Feel:
On-The-Fly Academic Linked Data Integration. ICCDA 2017: 114-122
Coauthor Index
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