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Semantics Incorporated: Slow Adoption of Linked Data: Why?

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Semantics Incorporated: Slow Adoption of Linked Data: Why?
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During the November issue of Semantic Web Gang podcast , we also talked about DBpedia , which led me to share new thoughts about Linked Data . And more specifically, two things:

my growing concerns that adoption of Linked Data is going slower than expected (an observation I will test further) given the R&D investment and focus of a large community including the inventor of the web and the W3C, which led us to anticipate a faster growth curve.

the possibility this slow adoption rate might be due to inherent flaws in the design of Linked Data. Even if adoption is in fact rapid (which I don't think it is), I am nonetheless concerned those flaws could also limit the potential of Linked Data to "turn the Web into a database", as per the main promise associated with the Semantic Web by its apostles ( to this day ...).

My thinking on this topic has further progressed following good discussions with a number of people including Bill Roberts of Swirrl, Ian Davis of Talis, and Pawel Lubczonok of Thought Express (I have a business relationship with Thought Express, although the views expressed here are my own entirely, developed prior). I will expand on this in the future as I keep learning about the flaws I suspect (please share your inputs either through blog comments or by emailing me at gregboutin -AT- gmail.com).

In the meantime, I would recommend some good blog posts closely related (or even directly related, in the case of Bill's post) to ...

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