  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 systems. We consider that knowledge graph management
systems have a key role to play in this context due to their data integration
and reasoning features. In this paper, we present SuccinctEdge, a compact,
decompression-free, self-index, in-memory RDF store that can answer SPARQL
queries, including those requiring reasoning services associated to some
ontology. We provide details on its design and implementation before
demonstrating its efficiency on real-world and synthetic datasets.
