My latest podcast is with Jim Hendler and Li Ding of the Tetherless World Constellation at Rensselaer Polytechnic Institute in New York state. They’re part of a team converting some of the Federal Government data on the new Data.gov portal to RDF, and we talk about both how the work is going, and what it [...]
Posts Tagged ‘Linked Data’
Examining the Linked Data opportunity; the case of Higher Education
Image via Wikipedia Regardless of where you stand on some of the questions of detail with respect to the Linked Data meme, it’s clear that significant enthusiasm is being marshalled behind both the concept and the opportunities that it promises. Dion Hinchcliffe looks at some of the means by which enterprise data can be more [...]
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 [...]
More Linked Data and RDF
Image via Wikipedia Thank you to everyone who took the time to share a wide range of views in response to yesterday’s post in its comments, on Twitter, and out on your own blogs. Although reduced to silence throughout the day because of other commitments, I have been reading and learning from all of you. [...]
Does Linked Data need RDF ?
Image by PhOtOnQuAnTiQuE via Flickr Before going any further, let’s get a few things crystal clear; The recent success of the Linked Data meme is long overdue, very welcome, and entirely capable of carrying the Web of Data far beyond its current niche adherents. A lot of my current work involves arguing that more organisations [...]

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.