Ibrahim Abdelaziz

According to our database1, Ibrahim Abdelaziz authored at least 15 papers between 2015 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries.
PVLDB, 2018

Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions.
J. Web Sem., 2017

Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics.
IEEE Trans. Parallel Distrib. Syst., 2017

Lusail: A System for Querying Linked Data at Scale.
PVLDB, 2017

A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data.
PVLDB, 2017

A Demonstration of Lusail: Querying Linked Data at Scale.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Query Optimizations over Decentralized RDF Graphs.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

In-Network Computation is a Dumb Idea Whose Time Has Come.
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

DAIET: a system for data aggregation inside the network.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning.
VLDB J., 2016

A large vocabulary system for Arabic online handwriting recognition.
Pattern Anal. Appl., 2016

Scalemine: scalable parallel frequent subgraph mining in a single large graph.
Proceedings of the International Conference for High Performance Computing, 2016

Large-Scale Graph Processing Using Apache Giraph
Springer, ISBN: 978-3-319-47431-1, 2016

Evaluating SPARQL Queries on Massive RDF Datasets.
PVLDB, 2015

SPARTex: A Vertex-Centric Framework for RDF Data Analytics.
PVLDB, 2015