DBpedia extracts structured information from the content created in various Wikimedia projects. This information resembles an open knowledge graph (KG) which is available for everyone on the Web. A KG is a database that stores knowledge in a machine-readable form and provides a means for information to be collected, organised, shared, searched and utilised. The current DBpedia release 2021-01 consists of 21 billion triples (“facts”) and ~750 different “types”. The whole extraction includes 125 languages. It is interlinked to many other databases (e.g., Wikidata). Started in 2006, DBpedia is one of the first open KGs on the Web. Its knowledge base has several advantages over existing ones: it covers many domains; it represents real community agreement; it automatically evolves as Wikipedia changes, and it is truly multilingual. DBpedia provides tools that allow you to create, maintain, improve, integrate and use KGs to build applications, e.g. BBC has created the World Cup 2010 website by interconnecting textual content and facts from their knowledge base. Data provided by DBpedia was greatly involved in creating this knowledge graph. Several other large, medium and small companies use data from DBpedia every day. DBpedia data is served as Linked Data, which is revolutionizing the way applications interact with the Web. One can navigate this Web of facts with standard Web browsers, automated crawlers or pose complex queries with SQL-like query languages (such as SPARQL). Have you thought of asking the Web about all cities with low criminality, warm weather and open jobs? That is the kind of query we are talking about. DBpedia has become a high-impact, high-visibility project because of our foundation in excellent Knowledge Engineering as the pivot point between scientific methods, innovation and industrial-grade output. The drivers behind DBpedia are 6 out of the TOP 10 Most Influential Scholars in Knowledge Engineering and the C-level executives of our members.