What is DBpedia dataset?

DBpedia (from “DB” for “database”) is a project aiming to extract structured content from the information created in the Wikipedia project. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other related datasets.

What is the difference between DBpedia and wikidata?

As fundamental differences between both projects, we can highlight that Wikidata has an open centralised nature, whereas DBpedia is more popular in the Semantic Web and the Linked Open Data communities and depends on the different linguistic editions of Wikipedia.

How is DBpedia created?

The DBpedia project was officially launched in 2007 at the World Wide Web conference in Banff — when the Linked Open Data Cloud was only a tiny collection of bubbles coalescing around DBpedia.

How do I find DBpedia?

You can ask queries against DBpedia using: the OpenLink Interactive SPARQL Query Builder (iSPARQL) at http://dbpedia.org/isparql; the SNORQL query explorer at http://dbpedia.org/snorql (does not work with Internet Explorer); or. any other SPARQL-aware client(s).

What is the primary source of DBpedia facts?

DBpedia uses the Resource Description Framework (RDF) to represent extracted information and consists of 9.5 billion RDF triples, of which 1.3 billion were extracted from the English edition of Wikipedia and 5.0 billion from other language editions.

How does DBpedia spotlight work?

Shedding light on the web of documents. It is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia.

Why is SPARQL used?

SPARQL, short for “SPARQL Protocol and RDF Query Language”, enables users to query information from databases or any data source that can be mapped to RDF. The SPARQL standard is designed and endorsed by the W3C and helps users and developers focus on what they would like to know instead of how a database is organized.