DBpedia is the Linked Data version of Wikipedia. Starting in 2007, several DBpedia dumps have been made available for download. In 2010, the Research Library at the Los Alamos National Laboratory used these dumps to deploy a Memento-compliant DBpedia Archive, in order to demonstrate the applicability and appeal of accessing temporal versions of Linked Data sets using the Memento “Time Travel for the Web” protocol. The archive supported datetime negotiation to access various temporal versions of RDF descriptions of DBpedia subject URIs.
In a recent collaboration with the iMinds Group of Ghent University, the DBpedia Archive received a major overhaul. The initial MongoDB storage approach, which was unable to handle increasingly large DBpedia dumps, was replaced by HDT, the Binary RDF Representation for Publication and Exchange. And, in addition to the existing subject URI access point, Triple Pattern Fragments access, as proposed by the Linked Data Fragments project, was added. This allows datetime negotiation for URIs that identify RDF triples that match subject/predicate/object patterns. To add this powerful capability, native Memento support was added to the Linked Data Fragments Server of Ghent University.
In this talk, we will include a brief refresher of Memento, and will cover Linked Data Fragments, Triple Pattern Fragments, and HDT in more detail. We will share lessons learned from this effort and demo the new DBpedia Archive, which, at this point, holds over 5 billion RDF triples.