On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia
Malte Brockmeier, Liu, Yawen, Sunita Pateer, Sven Hertling, Heiko Paulheim · MADOC (University of Mannheim) · 2021
Modern large-scale knowledge graphs, such as DBpedia, are datasets which require large computational resources to serve and process. Moreover, they often have longer release cycles, which leads to outdated information in those graphs. In this paper, we present DBpedia on Demand -- a system which serves DBpedia resources on demand without the need to materialize and store the entire graph, and which even provides limited querying functionality.