On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia
Information Retrieval
2021-07-05 v1 Artificial Intelligence
Databases
Abstract
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 Moreover, they often have longer release cycles, which leads to outdated information in those graphs.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.
Keywords
Cite
@article{arxiv.2107.00873,
title = {On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia},
author = {Malte Brockmeier and Yawen Liu and Sunita Pateer and Sven Hertling and Heiko Paulheim},
journal= {arXiv preprint arXiv:2107.00873},
year = {2021}
}
Comments
Accepted at Semantics 2021