Publishing data means delivering it to a wide and changing variety of data consumers. Instead of defined, agreed use by fixed applications, data is used in ways that the publisher will find hard to predict as users find ingenious ways to use and combine data. Data services don't do "9 to 5" and publishing of the data must aim for high levels of available service.
Yet the operation of data services will need to be resilient to operational needs as well as updates. By looking at some real data publishing services, we will see that while hardware failures happen, the main causes of service disruption are operational.
This paper describes a new, open source, RDF database that addresses operation needs using fault tolerance systems techniques to provide a scalable, consistent, and resilient data publishing platform for RDF.
All information about the XML London conference is open and available in Linked RDF format.
Thanks go to Charles Foster and William Holmes for their contributions to the XML London dataset.
If you would like to contribute to the XML London dataset, please submit a Git Pull Request to https://github.com/cfoster/xmllondon-rdf
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