Online Access
The DBpedia data set can be accessed online via a SPARQL query endpoint and as Linked Data.
- 1 Querying DBpedia
- 1.1 Public SPARQL Endpoint
- 1.2 Triple Pattern Fragments
- 1.3 Public Faceted Web Service Interface
- 1.4 REST API
- 1.5 Demo Query Script for Text Search on Virtuoso
- 1.5 Example queries displayed with the Berlin SNORQL query explorer
- 1.6 Examples rendering DBpedia Data with Fluidops Information Workbench
- 1.7 Examples rendering DBpedia Data with Google Map
- 1.8 Example displaying DBpedia Data with Exhibit
- 1.9 Example displaying DBpedia Data with gFacet
- 2 Linked Data
- 3 Web Traffic on DBpedia
- 4 DBpedia Data ID
1 Querying DBpedia
The DBpedia data set enables quite astonishing query answering possibilities against Wikipedia data.
1.1 Public SPARQL Endpoint
There is a public SPARQL endpoint over the DBpedia data set at http://dbpedia.org/sparql. The endpoint is provided using OpenLink Virtuoso as both the back-end database engine and the HTTP/SPARQL server.
The public endpoint does NOT include all available DBpedia data sets. See the list of all DBpedia data sets that are currently loaded into the public SPARQL endpoint.
You can ask queries against DBpedia using:
- the OpenLink Interactive SPARQL Query Builder (iSPARQL) at http://dbpedia.org/isparql;
- the SNORQL query explorer at http://dbpedia.org/snorql (does not work with Internet Explorer); or
- any other SPARQL-aware client(s).
NOTE: Please read the documentation and usage notes about the public SPARQL endpoint carefully, before querying the service. In terms of a Fair Use Policy, restrictions and limitations may apply for complex queries.
1.2 Triple Pattern Fragments
Triple Pattern Fragments provide triple-pattern-based access to a dataset. This enables client-side querying of live data with high availability at low cost. You can access the DBpedia dataset as Triple Pattern Fragments, and even perform federated querying over multiple datasets.
1.3 Public Faceted Web Service Interface
There is a public Faceted Browser "search and find" user interface at http://dbpedia.org/fct. Usage details can be found in the Virtuoso Facets Web Service documentation.
1.4 REST API
There is a new and experimental REST style API based on Spring and Swagger driven by the DBpedia Ontology and public English SPARQL endpoint. More details can be found in the documentation and usage notes.
1.5 Demo Query Script for Text Search on Virtuoso
We published a simple script which was developed as a software study before the development of Relfinder started.
We think that it will help you get familiar with SPARQL + String search on a Virtuoso server which hosts DBpedia.
The demo is deployed here and you can find the source code here.
Another demo is deployed here for getting familiar with Relfinder and the query plan. The code for such demo exists here.
1.5 Example queries displayed with the Berlin SNORQL query explorer
- People who were born in Berlin before 1900
- German musicians with German and English descriptions
- Musicians who were born in Berlin
- soccer players, who are born in a country with more than 10 million inhabitants, who played as goalkeeper for a club that has a stadium with more than 30.000 seats and the club country is different from the birth country
- Games
1.6 Examples rendering DBpedia Data with Fluidops Information Workbench
1.7 Examples rendering DBpedia Data with Google Map
1.8 Example displaying DBpedia Data with Exhibit
- Persons by birthplace (in French, does not work with Internet Explorer) — demo does not appear to work anymore as of 2009-11-09 – the link might be removed in the future
1.9 Example displaying DBpedia Data with gFacet
- gFacet is a new approach for browsing RDF data, which combines graph based visualization and faceted filtering techniques. A demo for DBpedia and other Linked Data resources is available online: http://www.visualdataweb.org/gfacet.php
2 Linked Data
Linked Data is a method of publishing RDF data on the Web and of interlinking data between different data sources.
2.1 Background
Linked Data on the Web can be accessed using Semantic Web browsers, just as the traditional Web of documents is accessed using HTML browsers. However, instead of blindly following nondescript links between HTML pages, Semantic Web browsers enable users to navigate between different data sources by following self-described RDF links. This allows the user to start off at one data source, and then move through a potentially endless Web of data sources connected by RDF links. It also allows the robots of Semantic Web search engines to follow these links to crawl the Semantic Web.
Please see Tim Berners-Lee's Web Design Note about Linked Data and the tutorial on How to publish Linked Data on the Web for more information about Linked Data.
2.2 The DBpedia Linked Data Interface
The DBpedia data set is served as Linked Data, meaning that all DBpedia URIs are dereferenceable.
This allows you to browse the DBpedia data set with Semantic Web browsers like DISCO, Marbles, the OpenLink Data Explorer, Tabulator, or the Fluidops Information Workbench.
2.3 Sample Resources
Some example Linked Data URIs from the DBpedia data set are listed below. To start surfing the Semantic Web, please enter any of these URIs into the navigation bar of one of the Semantic Web browsers listed above.
- http://dbpedia.org/resource/The_Lord_of_the_Rings
- http://dbpedia.org/resource/Berlin
- http://dbpedia.org/resource/Category:Cities_in_England
- http://dbpedia.org/resource/The_Beatles
- http://dbpedia.org/resource/Paul_McCartney
- http://dbpedia.org/resource/Category:English_musicians
- http://dbpedia.org/resource/Semantic_Web
- http://dbpedia.org/resource/Tetris
- http://dbpedia.org/resource/SPARQL
2.4 Sample Views of 2 Sample DBpedia Resources
Resource: The Lord of the Rings
OpenLink Data Explorer | DISCO | Marbles | Tabulator |
---|---|---|---|
View | View (broken) | View (broken) | View (broken) |
Resource: The Beatles
OpenLink Data Explorer | DISCO | Marbles | Tabulator |
---|---|---|---|
View | View (broken) | View (broken) | View (broken) |
3 Web Traffic on DBpedia
The WebSci'2010 paper Learning from Linked Open Data Usage: Patterns & Metrics reports on the analysis of DBpedia log files dating from 2009-06-30 to 2009-10-25 (i.e., 118 days; almost 4 months). According to this analysis, during that period the average number of hits per day for DBpedia URIs as well as the SPARQL endpoint were:
- DBpedia URIs: 561,277 hits per day
- DBpedia SPARQL endpoint: 177,734 queries per day
4 DBpedia Data ID
Data ID is a vocabulary for describing LOD datasets via RDF files, to host and deliver these metadata files together with the dataset in a uniform way, create and validate such files and deploy the results for the DBpedia and its local chapters.
The DBpedia Data ID is found here. There is also a VoID description of the DBpedia datasets.