DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself.
DBpedia Spotlight V0.7 released
DBpedia Spotlight is an entity linking tool for connecting free text to DBpedia through the recognition and disambiguation of entities and concepts from the DBpedia KB. We are happy to announce Version 0.7 of DBpedia Spotlight, which is also the first official release of the probabilistic/statistical implementation. More information about as well as updated evaluation results for [...]
Call for Ideas and Mentors for GSoC 2014 DBpedia + Spotlight joint proposal (please contribute within the next days)
We started to draft a document for submission at Google Summer of Code 2014:http://dbpedia.org/gsoc2014We are still in need of ideas and mentors. If you have any improvements on DBpedia or DBpedia Spotlight that you would like to have done, please submit it in the ideas section now. Note that accepted GSoC students will receive about [...]
Making sense out of the Wikipedia categories (GSoC2013)
(Part of our DBpedia+spotlight @ GSoC mini blog series) Mentor: Marco Fossati @hjfocs <fossati[at]spaziodati.eu> Student: Kasun Perera <kkasunperera[at]gmail.com> The latest version of the DBpedia ontology has 529 classes. It is not well balanced and shows a lack of coverage in terms of encyclopedic knowledge representation. Furthermore, the current typing approach involves a costly manual mapping effort and heavily depends [...]
The DBpedia Knowledge Base
Knowledge bases are playing an increasingly important role in enhancing the intelligence of Web and enterprise search and in supporting information integration. Today, most knowledge bases cover only specific domains, are created by relatively small groups of knowledge engineers, and are very cost intensive to keep up-to-date as domains change. At the same time, Wikipedia has grown into one of the central knowledge sources of mankind, maintained by thousands of contributors.
The DBpedia project leverages this gigantic source of knowledge by extracting structured information from Wikipedia and by making this information accessible on the Web under the terms of the Creative Commons Attribution-ShareAlike 3.0 License and the GNU Free Documentation License.
The English version of the DBpedia knowledge base currently describes 4.0 million things, out of which 3.22 million are classified in a consistent ontology, including 832,000 persons, 639,000 places (including 427,000 populated places), 372,000 creative works (including 116,000 music albums, 78,000 films and 18,500 video games), 209,000 organizations (including 49,000 companies and 45,000 educational institutions), 226,000 species and 5,600 diseases.
In addition, we provide localized versions of DBpedia in 119 languages. All these versions together describe 24.9 million things, out of which 16.8 million overlap (are interlinked) with the concepts from the English Dbpedia. The full DBpedia data set features labels and abstracts for 12.6 million unique things in 119 different languages; 24.6 million links to images and 27.6 million links to external web pages; 45.0 million external links into other RDF datasets, 67.0 million links to Wikipedia categories, and 41.2 million YAGO categories. The dataset consists of 2.46 billion pieces of information (RDF triples) out of which 470 million were extracted from the English edition of Wikipedia, 1.98 billion were extracted from other language editions, and about 45 million are links to external datasets. Detailed statistics about the DBpedia datasets in 24 popular languages are provided at Dataset Statistics.
The DBpedia knowledge base has several advantages over existing knowledge bases: it covers many domains; it represents real community agreement; it automatically evolves as Wikipedia changes, and it is truly multilingual. The DBpedia knowledge base allows you to ask quite surprising queries against Wikipedia, for instance “Give me all cities in New Jersey with more than 10,000 inhabitants” or “Give me all Italian musicians from the 18th century”. Altogether, the use cases of the DBpedia knowledge base are widespread and range from enterprise knowledge management, over Web search to revolutionizing Wikipedia search.
Nucleus for the Web of Data
Within the W3C Linking Open Data (LOD) community effort, an increasing number of data providers have started to publish and interlink data on the Web according to Tim Berners-Lee’s Linked Data principles. The resulting Web of Data currently consists of several billion RDF triples and covers domains such as geographic information, people, companies, online communities, films, music, books and scientific publications. In addition to publishing and interlinking datasets, there is also ongoing work on Linked Data browsers, Linked Data crawlers, Web of Data search engines and other applications that consume Linked Data from the Web.
The DBpedia knowledge base is served as Linked Data on the Web. As DBpedia defines Linked Data URIs for millions of concepts, various data providers have started to set RDF links from their data sets to DBpedia, making DBpedia one of the central interlinking-hubs of the emerging Web of Data.
This Wiki provides information about the DBpedia community project:
- Datasets gives an overview about the DBpedia knowledge base.
- Ontology gives an overview about the DBpedia ontology.
- Online Access describes how the data set can be accessed via a SPARQL endpoint and as Linked Data.
- Downloads provides the DBpedia data sets for download.
- Interlinking describes how the DBpedia data set is interlinked with various other datasets on the Web.
- Use Cases lists different use cases for the DBpedia data set.
- Extraction Framework describes the DBpedia information extraction framework.
- Data Provision Architecture paints a picture of the software and protocols used to serve DBpedia on the Web.
- Community explains how the DBpedia community collaborates and how people can contribute to the DBpedia effort.
- DBpedia Mapping Wiki containing the mappings used by the DBpedia extraction.
- DBpedia Internationalization Effort working towards providing multiple language-specific versions of DBpedia.
- DBpedia-Live presents the new DBpedia-Live framework.
- DBpedia Spotlight presents the DBpedia Spotlight tool for the semantic annotation of textual content.
- Credits lists the people and institutions that have contributed to DBpedia so far.
- Change Log lists the DBpedia releases and gives an overview about the changes for earch release.
- Next steps describes ideas and future plans for the DBpedia project.
For a recent overview paper about DBpedia, please refer to:
- Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, Christian Bizer: DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. To appear in the Semantic Web Journal, 2014.
- Further papers about DBpedia can be found at Publications