Category Archives: ggg


From LinkedIn’s networking graphing service; see also my map I’ve been digging around in graph-mining and visualization tools lately, and this use at LinkedIn is one of the few cases where such things actually break through into mainstream usefulness. Well, perhaps not useful, but it’s nice to see how groups overlap. In my chart here, [...]

Everything Still Looks Like A Graph (but graphs look like maps)

Last October I posted a writeup of some experiments that illustrate item-to-item similarities from Apache Mahout using Gephi for visualization. This was under a heading that quotes Ben Fry, “Everything looks like a graph” (but almost nothing should ever be drawn as one). There was also some followup discussion on the Gephi project blog. I’ve [...]

Dilbert schematics

How can we package, manage, mix and merge graph datasets that come from different contexts, without getting our data into a terrible mess? During the last W3C RDF Working Group meeting, we were discussing approaches to packaging up ‘graphs’ of data into useful chunks that can be organized and combined. A related question, one always [...]

Linked Literature, Linked TV – Everything Looks like a Graph

Ben Fry in ‘Visualizing Data‘: Graphs can be a powerful way to represent relationships between data, but they are also a very abstract concept, which means that they run the danger of meaning something only to the creator of the graph. Often, simply showing the structure of the data says very little about what it actually [...]

Querying Linked GeoData with R SPARQL client

Assuming you already have the R statistics toolkit installed, this should be easy. Install Willem van Hage‘s R SPARQL client. I followed the instructions and it worked, although I had to also install the XML library, which was compiled and installed when I typed install.packages(“XML“, repos = ““) ‘ within the R interpreter. Yesterday I set [...]

Video Linking: Archives and Encyclopedias

This is a quick visual teaser for some work I’m doing with NoTube colleagues, and a collaboration with Kingsley Idehen on navigating it. In NoTube we are trying to match people and TV content by using rich linked data representations of both. I love and with their help have crawled an experimental subset [...]