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.
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 [...]
DBpedia as Tables released
As some of the potential users of DBpedia might not be familiar with the RDF data model and the SPARQL query language, we provide some of the core DBpedia 3.9 data also in tabular form as Comma-Seperated-Values (CSV) files which can easily be processed using standard tools such as spreadsheet applications, relational databases or data mining tools. For each class in the DBpedia ontology (such as Person, Radio Station, Ice Hockey Player, or Band) we provide a single CSV file which contains [...]
DBpedia 3.9 released, including wider infobox coverage, additional type statements, and new YAGO and Wikidata links
Hi all, we are happy to announce the release of DBpedia 3.9. The most important improvements of the new release compared to DBpedia 3.8 are: 1. the new release is based on updated Wikipedia dumps dating from March / April 2013 (the 3.8 release was based on dumps from June 2012), leading to an overall increase in the number [...]
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:
- Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, Sebastian Hellmann: DBpedia – A Crystallization Point for the Web of Data. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, Issue 7, Pages 154–165, 2009.
- Further papers about DBpedia can be found at Publications