7 citations · 11 across the 5 of their papers we have counts for
5 papers
Finding Minimum Connected Subgraphs with Ontology Exploration on Large RDF Data
Xiangnan Ren, Neha Sengupta, Xuguang Ren +2
In this paper, we study the following problem: given a knowledge graph (KG) and a set of input vertices (representing concepts or entities) and edge labels, we aim to find the smal…
BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms
Xiangnan Ren, Olivier Curé, Hubert Naacke +1
The trade-off between language expressiveness and system scalability (E&S) is a well-known problem in RDF stream reasoning. Higher expressiveness supports more complex reasoning lo…
Strider-lsa: Massive RDF Stream Reasoning in the Cloud
Xiangnan Ren, Olivier Curé, Hubert Naacke +1
Reasoning over semantically annotated data is an emerging trend in stream processing aiming to produce sound and complete answers to a set of continuous queries. It usually comes a…
Strider: A Hybrid Adaptive Distributed RDF Stream Processing Engine
Xiangnan Ren, Olivier Curé
Real-time processing of data streams emanating from sensors is becoming a common task in Internet of Things scenarios. The key implementation goal consists in efficiently handling…
On measuring performances of C-SPARQL and CQELS
Xiangnan Ren, Houda Khrouf, Zakia Kazi-Aoul +2
To cope with the massive growth of semantic data streams, several RDF Stream Processing (RSP) engines have been implemented. The efficiency of their throughput, latency and memory…