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The Linked Data Value Spiral

The value of Linked Data grows when it's utilized an re-distributed
I'm currently writing an article about paggr for the Nodalities Magazine. As there is not too much to write about yet, I'm focusing on the basic idea (customizable Linked Data dashboards), its inspiration (TimBL's RDF Clipboard concept), enabling technologies and trends (Live Clipboard, widgets, AJAX homepages, sub-page-level interaction), and the user interface challenges related to generic interaction with Linked Data.

One thing that I thought might be worth sharing separately is the "Linked Data Value Spiral" below. It tries to illustrate that semantic data don't have a single-loop life cycle, but that re-distributing utilized ( = newly meshed/combined) information will create a self-enforcing "Linked Data ecosystem". I tried to associate the individual value creation processes with SemWeb market sectors. (RDF stores, for example, are typical information organization products, paggr tries to remove the bottleneck between utilization and re-distribution, etc.)

Linked Data Value Spiral

It's just an abstraction, the boundaries are of course blurry (a SPARQL endpoint can help with both utilization and discovery), but I still find the simple spiral and its segments handy to classify current products and companies. It even helped me a little to identify market opportunities and gaps:
  • The recent VoiD effort could have a significant impact on the whole Semantic Web progress.
  • Entity extraction providers like Zemanta and OpenCalais could play a huge role to boost creation processes.
  • What about "accelerator" products that offer a shortcut between utilization and creation (i.e. apps that create Linked Data while you are using them, with instant re-distribution)?
  • Is it a problem when a service like Freebase exports RDF but doesn't provide links to external datasets?
  • ...

Feel free to use and share.

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