Apologies for cross-posting. The full release description including
further statistics can be found on
We are pleased to announce immediate availability of a new edition of
the free and publicly accessible SPARQL Query Service Endpoint and
Linked Data Pages, for interacting with the new Snapshot Dataset.
What is the “DBpedia Snapshot” Release?
Historically, this release has been associated with many names: "DBpedia
Core", "EN DBpedia", and — most confusingly — just "DBpedia". In
it is a combination of —
EN Wikipedia data— A small, but very useful, subset (~ 1 Billion
triples or 14%) of the whole DBpedia extraction
theDBpedia Information Extraction Framework
structured information extracted from the English Wikipedia plus
some enrichments from other Wikipedia language editions, notably
multilingual abstracts in ar, ca, cs, de, el, eo, es, eu, fr, ga,
id, it, ja, ko, nl, pl, pt, sv, uk, ru, zh.
Links— 62 million community-contributed cross-references and
owl:sameAs links to other linked data sets on the Linked Open Data
(LOD) Cloud that allow to effectively find and retrieve further
information from the largest, decentral, change-sensitive knowledge
graph on earth that has formed around DBpedia since 2007.
Community extensions— Community-contributed extensions such as
additional ontologies and taxonomies.
Release Frequency & Schedule
Going forward, releases will be scheduled for the 15th of February, May,
July, and October (with +/- 5 days tolerance), and are named using the
same date convention as the Wikipedia Dumps that served as the basis for
the release. An example of the release timeline is shown below:
June 20–July 10
Wikipedia dumps for June 1 become available on https://dumps.wikimedia.org/
Download and extraction with DIEF
Post-processing and quality-control period
Linked Data and SPARQL endpoint deployment
Given the timeline above, the EN Wikipediadata of DBpedia Snapshot has a
lag of 1-4 months.
Growth of DBpedia, breakdown of links by domain, download instructions
and some tips on how to effectively work with DBpedia are published as
part of this blog post: