8 citations · 12 across the 4 of their papers we have counts for
6 papers
Knowledge Graph Management on the Edge
Weiqin Xu, Olivier Curé, Philippe Calvez
Edge computing emerges as an innovative platform for services requiring low latency decision making. Its success partly depends on the existence of efficient data management system…
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 the Evaluation of RDF Distribution Algorithms Implemented over Apache Spark
Olivier Curé, Hubert Naacke, Mohamed-Amine Baazizi +1
Querying very large RDF data sets in an efficient manner requires a sophisticated distribution strategy. Several innovative solutions have recently been proposed for optimizing dat…