Posted:November 8, 2009

Must Read: ‘Data Smoke and Mirrors’

Mazzocchi Sounds a Warning to Linked Data Advocates

Stefano Mazzocchi has been a clear thinker for years and an innovative contributor to the community since his early leadership of the Apache Cocoon project. One of his best qualities is he speaks his mind. Now at Freebase, but previously with MIT’s Simile program, he is one of my dedicated reads via his Stefano‚Äôs Linotype blog.

His aforementioned post, Data Smoke and Mirrors, stands on its own, and I highly recommend it. He particularly focuses on the conversion of data.gov datasets to “linked data” (my quotes are purposeful). Combined with the recent poor conversion of New York Times datasets to linked data, I think he is the canary sending out a warning about a disturbing trend.

Posting linked data for its own sake — whatever the reasons — risks undercutting the premise.

We have now moved beyond “proof of concept” to the need for actual useful data of trustworthy provenance and proper mapping and characterization. Recent efforts are a disappointment that no enterprise would or could rely upon.

Listen up, folks.

Schema.org Markup

headline:
Must Read: ‘Data Smoke and Mirrors’

alternativeHeadline:

author:

image:

description:
Mazzocchi Sounds a Warning to Linked Data Advocates Stefano Mazzocchi has been a clear thinker for years and an innovative contributor to the community since his early leadership of the Apache Cocoon project. One of his best qualities is he speaks his mind. Now at Freebase, but previously with MIT’s Simile program, he is one […]

articleBody:
see above

datePublished:

4 thoughts on “Must Read: ‘Data Smoke and Mirrors’

Leave a Reply

Your email address will not be published.