If you intend to also load Freebase and other datasets i recommend at least 64 GBs of RAM (we actually ended up using a 16 Core, 256 GB RAM Server in our research group). Used VersionsĪ strong machine with root access and enough RAM: We used a VM with 4 Cores and 32 GBs of RAM for DBpedia only.

I’ll also mention how you can add the following datasets / vocabularies adding up to nearly 6 G triples:Īs DBpedia is quite modular and has many internationalized (i18n) versions it has its own section in this guide, the other datasets don’t, as they maximally need minor repacking and a single line to load as explained below. In this step by step guide I’ll tell you how to install a local Linked Data mirror of the DBpedia 2015-04, hosting a combination of the regular English and (exemplary) the i18n German datasets adding up to nearly 850 M triples. 2014: Update to DBpedia 2014 and other Datasets and Virtuoso 7.1.0 2014: Update to DBpedia 3.9 and Virtuoso 7

May 2012: A bigger update to DBpedia 3.7 (new local language versions) and Virtuoso 6.1.5+ (with a lot of updates making pre-processing of the dumps easier).

2010: The first version focusing on DBpedia 3.5 – 3.6 and Virtuoso 6.1

There are four older versions of this guide: If anything goes wrong (or everything works fine), feel free to leave a comment below.

I hope you’ll be able to benefit from my many hours of trials and errors.

So you’re the guy who is allowed to setup a local DBpedia mirror or more generally a local Linked Data mirror for your work group? OK, today is your lucky day and you’re in the right place.

Alldup cnet