qEndpoint: A Wikidata SPARQL endpoint on commodity hardware

Antoine Willerval、Angela Bonifati、Dennis Diefenbach

2023Computer Science被引 3开放获取

摘要

In this work, we demonstrate how to setup a Wikidata SPARQL endpoint on commodity hardware resources. We achieve this by using a novel triple store called qEndpoint, which uses a read-only partition based on HDT and a write partition based on RDF4J. We show that qEndpoint can index and query the entire Wikidata dump (currently 17 billion triples) on a machine with 600GB SSD, 10 cores and 10GB of RAM, while keeping the query performance comparable with other SPARQL endpoints indexing Wikidata.

引用本文（GB/T 7714）

Antoine Willerval, Angela Bonifati, Dennis Diefenbach. qEndpoint: A Wikidata SPARQL endpoint on commodity hardware[J]. 未知来源, 2023.

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DOI：https://doi.org/10.1145/3543873.3587327

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