a Large, Multilingual, Semantic Knowledge Graph
Almost every major Web company has now announced its work on a Knowledge Graph: Google’s Knowledge Graph, Yahoo!’s Web of Objects, Microsoft's Satori Graph, Walmart Lab’s Social Genome, and Facebook’s Entity Graph, just to cite the biggest ones.
DBpedia is a community-run project that has been working on a free, open-source Knowledge Graph since 2006!
DBpedia currently describes 38.3 million “things” of 685 different “types” in 128 languages, with over 4 billion “facts”. It is interlinked to many other datasets. The knowledge in DBpedia is exposed through a technology stack called Linked Data, which has been revolutionizing the way applications interact with the Web: with Linked Data technologies, all APIs are interconnected via standard Web protocols and languages.
The Web of data
Such Web of data provides useful knowledge that can complement the Web of documents in many ways. See, for instance, 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.
Or, more recently, did you see that IBM's Watson used DBpedia data to win the Jeopardy challenge?
DBpedia Spotlight is an open source text annotation tool that connects text to Linked Data by marking names of things in text (we call that spotting) and selecting between multiple interpretations of these names (we call that disambiguation). For example,
Washington can be interpreted in more than 50 ways including a state, a government or a person. You can already imagine that this is not a trivial task, especially when we're talking about millions of things and hundreds of types.
We are regularly growing our community through GSoC and can deliver more and more opportunities to you.
DBpedia 2017 Projects
Ismael RodriguezDBpedia Mappings Front-End AdministrationAlthough the DBPedia Extraction Framework was adapted to support RML mappings thanks to a project of last year GSoC, the user interface to create...
Ram G AthreyaFirst Chatbot for DBpedia - Ram G AthreyaThe requirement of the project is to build a conversational Chatbot for DBpedia which would be deployed in at least two social networks. There are...
Nausheen FatmaKnowledge Base Embeddings for DBpediaKnowledge base embeddings has been an active area of research. In recent years a lot of research work such as TransE, TransR, RESCAL, SSP, etc. has...
Akshay JagatapKnowledge Base Embeddings for DBpedia - Akshay JagatapThe project aims at defining embeddings to represent classes, instances and properties. Such a model tries to quantify semantic similarity as a...
Luca VirgiliThe table extractorThis is a proposal for the table extractor project. In this paper I explain how to improve the last year's project and to create a general way in...
Shashank MotepalliUnsupervised Learning of DBpedia TaxonomyDBpedia tries to extract structured information from Wikipedia and make information available on the Web. In this way, the DBpedia project develops a...
KrishhWikipedia List-ExtractorWikipedia, being the world’s largest encyclopedia, has humongous amount of information present in form of text. While key facts and figures are...