A Toolset for Supporting Evolution and Preservation of Linked Data: the DIACHRON approach (original) (raw)

Over the course of the last few years, there has been a vast and rapidly increasing quantity of scientific, corporate, government and crowd-sourced data, published on the emerging Data Web that has been created for open access. Open Data is expected to play a catalyst role in the way structured information is exploited in the large scale. This offers a great potential for building innovative products and services that create new value from already collected data. Open data published according to the Linked Data Paradigm is essentially transforming the Web from a document publishing-only environment, into a knowledge ecosystem where users have become active data aggregators and generators themselves. A traditional view of digitally preserving them by pickling them and locking them away for future use, like groceries, would conflict with their evolution. There are a number of approaches and frameworks, such as the LOD2 stack, that manage a full life-cycle of the Data Web. More specifi...