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DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web.
DBpedia currently describes 38.3 million “things” of 685 different “types” in 125 languages, with over 3 billion “facts” (September 2014). It is interlinked to many other databases (e.g., Freebase, Wikidata, New York Times, CIA Factbook). The knowledge in DBpedia is exposed through a set of technologies called Linked Data. Linked Data has been revolutionizing the way applications interact with the Web. While the Web2.0 technologies opened up much of the “guts” of websites for third-parties to reuse and repurpose data on the Web, they still require that developers create one client per target API. With Linked Data technologies, all APIs are interconnected via standard Web protocols and languages.
One can navigate this Web of facts with standard Web browsers, automated crawlers or pose complex queries with SQL-like query languages (e.g., SPARQL). Have you thought of asking the Web about all cities with low criminality, warm weather and open jobs? That's the kind of query we are talking about.
This new Web of interlinked databases provides useful knowledge that can complement the textual Web in many ways. See, for example, how bloggers tag their posts or assign them to categories in order to organize and interconnect their blog posts. This is a very simple way to connect unstructured text to a structure (hierarchy of tags). For more advanced examples, see how BBC has created the World Cup 2010 website by interconnecting textual content and facts from their knowledge base. Identifiers and data provided by DBpedia were greatly involved in creating this knowledge graph. Or, more recently, did you see that IBM's Watson used DBpedia data to win the Jeopardy challenge?
We are regularly growing our community through GSoC and can deliver more and more opportunities to you.