Triplify - Light-weight Linked Data Publication from Relational Databases
author: Sebastian Hellmann, Department of Business Information Systems, University of Leipzig
author: Jens Lehmann, Department of Business Information Systems, University of Leipzig
author: Sebastian Dietzold, Department of Business Information Systems, University of Leipzig
author: Sören Auer, Department of Business Information Systems, University of Leipzig
published: May 20, 2009, recorded: April 2009, views: 1000
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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 published by Web applications merely as HTML mixing structure, layout and content. In order to reveal the pure structured information behind the current Web we implemented Triplify as a light-weight software component, which can be easily integrated and deployed with 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 configurations for common relational schemata and a REST-enabled datasource registry. Triplify configurations are provided containing mappings for many popular Web applications, including Wordpress, Drupal, Joomla, Gallery, and phpBB. We 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.
Download slides: www09_auer_tlwldp_01.pptx (1.0 MB)
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