Continuing the Government data theme of my recent podcasts, this month’s Semantic Web Gang conversation also explores the potential for semantic technologies to unlock far more value in the data being put online by Governments around the world. Have a listen, and see what you think.
Posts Tagged ‘Podcast’
Talking about Social Data Discovery with Kevin Merritt of Socrata
An issue with many of the current initiatives to provide access to data is that they focus on one particular mode of access. As a rule, they tend to either offer a pretty interface that facilitates end-user exploration of a constrained set of data, or they proudly offer a massive list of files for download, [...]
True Knowledge not a Google Killer – and that’s good
Image byTrue Knowledge/True Knowledge via CrunchBase Every time a new search engine pops up, bloggers, journalists and analysts get all worked up about its potential (or otherwise) to be a ‘Google Killer.’ I’ve written about this before, and really can’t understand the apparent obsession with ‘killing’ a company that’s continuing to do remarkably well at [...]
John Sheridan talks about the drive to get Government data online
John Sheridan’s role as Head of e-Services at the UK Government‘s Office of Public Sector Information (OPSI) places him at the heart of this country’s enthusiastic drive toward increasing visibility of Government data online. As we discuss in this podcast, the programme is ambitious but eminently achievable, and builds upon a tradition that has actually [...]
The Semantic Web Gang talk about semtech2009, LIVE
Back in May, I mentioned that the Semantic Web Gang podcast for June would be coming – live – from the stage of this year’s Semantic Technology Conference. Well, we did it, and it was a lot of fun. And as I mention during the session, being able to see the panel made my job [...]

Paul Miller works at the interface between the worlds of Cloud Computing and the Semantic Web, providing the insights that enable you to exploit the next wave as we approach the World Wide Database.