Items by Auer, Sören

The DBpedia project provides Linked Data identifiers for currently 2.6 million things and serves a large knowledge base of structured information. DBpedia developed into the central interlinking hub for the Linking Open Data project, its URIs are used within named entity recognition services such as OpenCalais and annotation services such as Faviki, and the BBC started using DBpedia as their central semantic backbone. DBpedia's structured data serves as background information in the process interlinking datasets and provides a rich source of information for application developers. Beside making the DBpedia knowledge base available as linked data and RDF dumps, we offer a Lookup Service which can be used by applications to discover URIs for identifying concepts, and a SPARQL endpoint that can be retrieve data from the DBpedia knowledge base to be used in applications. This talk will give an introduction to DBpedia for web developers and an overview of DBpedia's development over the last year. We will demonstrate how DBpedia URIs are used for document annotation and how Web applications can via DBpedia facilitate Wikipedia as a source of structured knowledge.

In this paper we present Triplify – a simplistic but effective approach to publish Linked Data from relational databases. Triplify is based on mapping HTTP-URI requests onto relational database queries. Triplify transforms the resulting relations into RDF statements and publishes the data on the Web in various RDF serializations, in particular as Linked Data. The rationale for developing Triplify is that the largest part of information on the Web is already stored in structured form, often as data contained in relational databases, but usually published by Web applications only as HTML mixing structure, layout and content. In order to reveal the pure structured information behind the current Web, we have implemented Triplify as a light-weight software component, which can be easily integrated into and deployed by the numerous, widely installed Web applications. Our approach includes a method for publishing update logs to enable incremental crawling of linked data sources. Triplify is complemented by a library of con�gurations for common relational schemata and a REST-enabled data source registry. Triplify con�gurations containing mappings are provided for many popular Web applications, including osCommerce, WordPress, Drupal, Gallery, and phpBB. We will show that despite its light-weight architecture Triplify is usable to publish very large datasets, such as 160GB of geo data from the OpenStreetMap project.