6 citations · 17 across the 20 of their papers we have counts for
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cs.DB2017★ 6 cited
MapSQ: A MapReduce-based Framework for SPARQL Queries on GPU
Jiaying Feng, Xiaowang Zhang, Zhiyong Feng
In this paper, we present a MapReduce-based framework for evaluating SPARQL queries on GPU (named MapSQ) to large-scale RDF datesets efficiently by applying both high performance.…
cs.DB2017
hMDAP: A Hybrid Framework for Multi-paradigm Data Analytical Processing on Spark
Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng
We propose hMDAP, a hybrid framework for large-scale data analytical processing on Spark, to support multi-paradigm process (incl. OLAP, machine learning, and graph analysis etc.)…
cs.DB2017
PRSP: A Plugin-based Framework for RDF Stream Processing
Qiong Li, Xiaowang Zhang, Zhiyong Feng
In this paper, we propose a plugin-based framework for RDF stream processing named PRSP. Within this framework, we can employ SPARQL query engines to process C-SPARQL queries with…