Two things that might be relevant for understanding what I did here:
- I’ve recently started learning Python and I love it, thus try to write as much code as possible in Python.
- I’ve also recently started writing my thesis, and I try to write as much as possible.
Voila, the “LaTeX motivator” script is born (based on a version by my supervisor… but mine has special effects). Download it off github, copy the scripts (.py plus the .pl wordcount script) into the directory with your tex files, run latex-motivator.py, select your favourite motivating animal, and off you go. Now all you have to do is write a thesis. Easy!
Update: It seems that the stats.csv output is a bit broken. Will fix once I’ve written enough to make the dino happy.
This is what a google search for “koala.owl” brings up:
[cc-licensed image by Connor Vick]
I just came across this 3-dimensional representation of the Semantic Web Layer Stack – or cake- handcrafted by Benjamin Nowack. The author also links to Jim Hendler’s talk on the Semantic Web Layercake (from 2009), possible the world’s first Semantic Web talk completely in rhyme. Jim’s talk gives a good overview of the evolution of the Semantic Web and how an incredible number of icing, sprinkles and candles was added to the layercake over the years.
The complexity of the stack – both the ‘simplified’ version and the more elaborate one in Jim’s talk – makes me wonder how usable the Semantic Web approach really is. Will there be a point where the technologies converge, some die, others emerge as winners? Or will we live happily with a big messy cake that’s got a little something for everyone?