DBpedia

DBpedia turns information extracted from Wikipedia articles into machine-readable entities, properties, and relationships. Developers and researchers can use that structured data for search, linked-data applications, entity recognition, and knowledge-graph experiments.

No, Wikipedia is the source of much of the extracted article content, while DBpedia organizes selected facts into a structured knowledge base. DBpedia can therefore be queried as data rather than read only as a set of encyclopedia pages.

Wikipedia exists in many languages, and DBpedia extracts structured information from those language editions. This makes it useful for linking entities and relationships across multilingual datasets.

The DBpedia project emerged in 2007 as an early large-scale linked-data project. It helped popularize the idea of converting encyclopedia content into a reusable knowledge graph.