Paul Miller

The Cloud of Data


Archive for the ‘Semantic Web’ Category

Talking with Richard Stirling about progress with data.gov.uk

In my latest podcast I talk with Richard Stirling of the UK Government’s Cabinet Office, and we discuss progress with the Government’s ambitious data.gov.uk site.

This podcast was recorded on Friday 16 July, 2010. I spoke with John Sheridan of the Government’s Office of Public Sector Information (OPSI) back in July of 2009, when [...]

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A tale of two conferences

Image by Thomas Hawk via Flickr A somewhat hectic June concluded with my second trip of the month to California. Whilst the first excursion led to Santa Clara and an interesting insight into attempts by Hitachi Data Systems to reinvent its relationship with the wider community, the second journey took me to San Francisco and [...]

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Talking with David Siegel about ‘Pull’ and the Semantic Web

Continuing my series of podcast conversations with interesting people, this week I spoke with David Siegel in New York. David is the author of several best-selling books, and has just published Pull: the power of the Semantic Web to transform your business [Amazon US] [Amazon UK].

We discuss the premise behind the book, and [...]

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Final version of ‘Linked Data Horizon Scan’ now available online

Last year, I published a draft version of the Linked Data Horizon Scan that I had been commissioned to write for the UK’s Joint Information Systems Committee (JISC). The final version of that report is available today, both in commentable form via JISC’s JISCPress tool and for download as a PDF. JISC’s associated call to [...]

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A podcast conversation about GoodRelations, with Martin Hepp and Jamie Taylor

I recorded my latest Semantic Web-ish podcast last week, talking with Martin Hepp in Germany and Jamie Taylor in California. Our topic was GoodRelations, an ontology/vocabulary designed to enhance the clarity of descriptions of businesses and their products on the Web. As the GoodRelations site describes, “GoodRelations is a language that can be used to describe very [...]

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