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What is DBpedia?
- DBpedia is an open, free and comprehensive knowledge base constantly improved and extended by a large global community
- DBpedia can be used to directly answer fact questions about a wide range of topics
- users exploit DBpedia as background knowledge for document ranking, natural language understanding, as well as data integration methods
- our data grows with Wikipedia and Wikidata
- the extractors are updated frequently to build our 8.8 billion fact, large-scale-cross-domain knowledge graph
- DBpedia has thousands of users, for example:
- large companies such as Wolters Kluwer
- web developers
Why is DBpedia important?
DBpedia provides a complementary service to Wikipedia by exposing knowledge (from 130 Wikimedia projects, in particular the English Wikipedia, Commons, Wikidata and over 100 Wikipedia language editions) in a quality-controlled form compatible with tools covering ad-hoc structured data querying, business intelligence & analytics, entity extraction, natural language processing, reasoning & inference, machine learning services, and artificial intelligence in general. Data is published strictly in line with “Linked Data” principles using open standards (e.g., URIs, HTTP, HTML, RDF, and SPARQL) and open data licensing. For more information check here.
How can you support DBpedia?
- consider a donation to the DBpedia Association: Donation page
- join the DBpedia community for improving the quality or extending the knowledge base: Get Involved
- join the DBpedia Association: Member benefits, Application page (students are free)
- invest in a particular feature of DBpedia
What will we achieve with the money?
Continued support and innovation behind this most powerful public reference database. Every contribution you make adds to a pool of contributions from others that collectively validate the purpose and utility of this project.
- building a better DBpedia for its users
- systematically develop DBpedia’s public data, software and services
- continously merge community contributions into the core assets of DBpedia, i.e. ease barriers for upstream committing and connect with community members to integrate their solutions and extensions
Web Services (SPARQL & Lookup API) and Linked Data
- increase availability and performance scalability of the SPARQL Query & Linked Data Deployment services, i.e. higher uptime and more concurrent users for our public web services around the world
- host more data
- implement new features, that are requested by the community
Extract, Transform, Load
- adapt our extractors to match the changes and the growth in Wikipedias content
- include more data sources to fuse into the DBpedia core data set
- focus on data in Wikipedia that is harder to extract with good quality such as article text, tables, references, etc.
- provide all extracted data for download as dumpfile
- improve data quality assurance
- our release manager provides fresh releases twice a year: http://downloads.dbpedia.org
- we have implemented quality checks, which we are constantly improving
- better documentation making the releases more business-ready, i.e. detect identifier changes
- better publicity and exploitation (community events, booths, flyers, add use cases to projects)
- community building, networking and coordination of community actions
- support the Language Chapters of DBpedia to achieve better data quality from extraction of non-English Wikipedia versions
- support for member and community issues, e.g. query and linked data service availability, bugs, travel grants, etc.
Thank you for supporting DBpedia! If you have any questions, please contact us.