  Wikidata is the largest collaborative general knowledge graph supported by a
worldwide community. It includes many helpful topics for knowledge exploration
and data science applications. However, due to the enormous size of Wikidata,
it is challenging to retrieve a large amount of data with millions of results,
make complex queries requiring large aggregation operations, or access too many
statement references. This paper introduces our preliminary works on
Wikidata-lite, a toolkit to build a database offline for knowledge extraction
and exploration, e.g., retrieving item information, statements, provenances, or
searching entities by their keywords and attributes. Wikidata-lite has high
performance and memory efficiency, much faster than the official Wikidata
SPARQL endpoint for big queries. The Wikidata-lite repository is available at
https://github.com/phucty/wikidb.

Databases