Abstract: Semantic web technologies are increasingly used in different domains. The core technology of the Semantic Web is the RDF standard. Today with the growth of RDF data it requires systems capable of handling these large volumes of data and responding to very complex requests at the join level, Several RDF data processing systems have been proposed, but are not dedicated to handling complex SPARQL queries. in this paper we present a new approach based on model driven engineering for processing complex SPARQL queries using one of the big data processing tools named Hive. We evaluate our system using three datasets from LUBM Benchmark. The results of this evaluation show the performance, and the scalability of our approach, also give very interesting results when it is compared with existing works.

Mouad Banane and Abdessamad Belangour. “New Approach based on Model Driven Engineering for Processing Complex SPARQL Queries on Hive”. International Journal of Advanced Computer Science and Applications (IJACSA) 10.4 (2019). http://dx.doi.org/10.14569/IJACSA.2019.0100474

@article{Banane2019,
title = {New Approach based on Model Driven Engineering for Processing Complex SPARQL Queries on Hive},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100474},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100474},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {4},
author = {Mouad Banane and Abdessamad Belangour}
}