28 citations · 65 across the 12 of their papers we have counts for
12 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 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…
SPARQL query processing with Apache Spark
Hubert Naacke, Olivier Curé, Bernd Amann
The number of linked data sources and the size of the linked open data graph keep growing every day. As a consequence, semantic RDF services are more and more confronted to various…
LiteMat: a scalable, cost-efficient inference encoding scheme for large RDF graphs
Olivier Curé, Hubert Naacke, Tendry Randriamalala +1
The number of linked data sources and the size of the linked open data graph keep growing every day. As a consequence, semantic RDF services are more and more confronted with vario…
RDF Knowledge Graph Visualization From a Knowledge Extraction System
Fadhela Kerdjoudj, Olivier Curé
In this paper, we present a system to visualize RDF knowledge graphs. These graphs are obtained from a knowledge extraction system designed by GEOLSemantics. This extraction is per…
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…
WaterFowl, a Compact, Self-indexed RDF Store with Inference-enabled Dictionaries
Olivier Curé, Guillaume Blin, Dominique Revuz +1
In this paper, we present a novel approach -- called WaterFowl -- for the storage of RDF triples that addresses some key issues in the contexts of big data and the Semantic Web. Th…
Ontology Based Data Integration Over Document and Column Family Oriented NOSQL
Olivier Curé, Myriam Lamolle, Chan Le Duc
The World Wide Web infrastructure together with its more than 2 billion users enables to store information at a rate that has never been achieved before. This is mainly due to the…