According to our database1, Ibrahim Abdelaziz authored at least 15 papers between 2015 and 2018.
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A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries.
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.
A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data.
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.
SPARTex: A Vertex-Centric Framework for RDF Data Analytics.