Problems with quick Wikipedia heatmaps of birth locations

This doesn’t tell you how many people of that profession there are, it tells you how many people of that profession are in Wikipedia, with structured data on both the persons birthplace and profession. It might tell us as much about how Wikipedia is being used as how many people from that profession are actually…

Testing creation of intensity maps from Wikipedia

I wanted to come up with a quick method that I could reuse where I could ask Wikipedia a quick question, get some numbers and create a heat map. I still haven’t come up with the quick process, and when I mess with data I tend to stick with what I know for a ‘first…

The birth place of every pro wrestler (according to wikipedia)

A few days ago I mapped out the death places of Monarchs of England. I wanted to try the same technique on a bigger dataset and keeping on trend with some other stuff I’ve done with Reddit I decided to map the birthplace of every wrestler in Wikipedia. This is a *rough* guide. It maps…

Where the English monarchs died

(according to Wikipedia) This was a quick and dirty experiment to see how easy it is to auto generate an interactive map from Wikipedia/DBpedia. There are some caveats and things I still need to iron out. These are people that Wikipedia has described as a Monarch of England, they must have a place of death…

New LAK dataset

I’ve been informed by Davide Taibi that the LAK dataset has been updated, this update includes some paper text that I reported on, but also has lots more data. As described by Davide: This version includes papers from: – EDM conferences (2008-2014) – LAK conferences (2011-2014, 2014 only abstract since we are waiting for ACM…

Playing with Wikipedia

Sometimes I like to write bits of code that poke Wikipedia, its fun and the data is a great way to start a conversation with people. I recently teamed up with the pro wrestling fans of Reddit to find out information on wrestling stables, we did this using the structured information from Wikipedia stored in…

Exploring Telenovela with DBpedia, R and Gephi

Today I discovered Telenovelas. Telenovelas are short limited run programs similar to soap opera, they are popular in Spanish language counties and they are serious business. I stumbled across a clip on youtube and was instantly hooked. Check this out: I headed to Wikipedia to find out more only to find that Telenovelas is a…

Visualising Linked Data

I did a short video showing how I create a visual Graph from dbpedia data. In this video I use SPARQL to query a triple-store endpoint, then I take the results, spruce them up in Google Refine and explore the graph in Gephi. I’ve explored the relationship between members of punk rock bands, but the…