This talk will start with an introduction of the main strategies for storing and indexing RDF data sets. This will consider solutions based on a native RDF approach but also approaches using a relational or NoSQL storage backend. Then, I will present the main features of an on-going work that aims to distribute highly compressed structures adapted for the storage and querying of RDF triples. The compactness of the represented data is supported by an architecture based on Succinct Data Structures (SDS) which enables to store large datasets in main memory. A special form of entity encoding enables inferences in the RDFS entailment regime.
Olivier Curé is an Associate Professor at the University of Paris-Est Marne-la-Vallée. His research focuses primarily on Knowledge Representation, Reasoning and Database systems. He is particularly interested on bridging these different fields of Computer Science. Some of the results he has obtained have been applied to the medical domain, more precisely in self-medication. During the 2014-2015 year, he will be on a leave of absence and will be a researcher in the LIP6 Database group at the Paris VI Pierre and Marie Curie University.
- Meston 2 (also known as Meston 34)