Accessing the DBpedia Data Set over the Web


The DBpedia data set can be accessed online via a SPARQL query endpoint and as Linked Data.


Contents

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 back-end database engine.


Please note that not all DBpedia data sets are loaded into the SPARQL endpoint. Especially, only the English infobox data set is loaded and the infobox data sets from other languages are not loaded in order to avoid confusion. For a list of all DBpedia data sets that are loaded into the SPARQL please refer to DatasetsLoaded.


You can ask queries against DBpedia using:

1.2. Public Faceted Web Service Interface

There is a public Faceted web service over the DBpedia data set at http://DBpedia.org/fct/service and a Faceted Browser “search and find” user interface at http://DBpedia.org/fct. Usage details can be found in the Virtuoso Facets Web Service documentation.

1.3. Example queries displayed with the Berlin SNORQL query explorer

1.4. Examples rendering DBpedia Data with Google Map 

  • Capitals in Europe (in French) — demo does not appear to work anymore as of 2009–11–09 – the link might be removed in the future

1.5. 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

1.6. 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 is available online: http://www.gfacet.org/dbpedia/

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 following links between HTML pages, Semantic Web browsers enable users to navigate between different data sources by following 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 to 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, Objectviewer (site appears to be broken, as of 2008–11–13), the OpenLink Data Explorer, Tabulator, or the Zitgist Data Viewer.

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.


2.4. Sample Views of 2 Sample DBpedia Resources

Resource in
DISCO
in
Marbles
in
OpenLink Data Explorer
in
Tabulator
in
Zitgist Data Viewer
The Lord of the Rings View View View View View
The Beatles View View View View View

3. Semantic Web Crawling Sitemap

Semantic Web Crawling: a Sitemap Extension defines an extension for the Sitemap protocol targeted at the efficient discovery and use of RDF data. Data publishers can state where RDF is located and provide alternative means to access it. Semantic Web clients and Semantic Web crawlers can use this information to access required RDF data in the most efficient way for the task they have to perform.


The DBpedia project supports this sitemap extension. The DBpedia sitemap, pointing at the SPARQL endpoint, the downloads, and some example instances, is found here.


 
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Last Modification: 2009-11-21 16:52:53 by Sebastian Hellmann