Archive for the ‘Entertainment’ Category

The Little Black Box That Took Over Piracy (tl;dr – Read or Watch GoT?)

Saturday, October 28th, 2017

The Little Black Box That Took Over Piracy by Brian Barrett.

At > 2400 words, Barrett’s report on Kodi is a real time sink.

Three links instead:

  1. TV Addons
  3. HOW-TO:Install Kodi for Linux


At “Enjoy” 33 words versus > 2400. Comments?

Regex Cross­word

Friday, June 6th, 2014

Regex Cross­word

From the webpage:

Welcome to the fantastic world of nerdy regex fun! Start playing by selecting one of the puzzle challenges below. There are a wide range of difficulties from beginner to expert.

From the “How to play” page:

Regex Crossword is a game similar to sudoku or the traditional crossword puzzle, where you must guess the correct letters in the horizontal and vertical lines of a grid. In Regex Crossword you are not given a word to guess, but a pattern that tells you which letters are allowed.

The NYT Crossword editors don’t need to start polishing their resumes. 😉

On the other hand, I can foresee office competitions!

Or at conferences? Someone needs to carry the word to the Balisage organizers

1 Billion Videos = No Reruns

Monday, January 14th, 2013

Viki Video: 1 Billion Videos in 150 languages Means Never Having to Say Rerun by Greg Bates.

from the post:

Tried of American TV? Tired of TV in English? Escape to Viki, the leading global TV and movie network, which provides videos with crowd sourced translations in 150 languages. The Viki API allows your users to browse more than 1 billion videos by genre, country, and language, plus search across the entire database. The API uses OAuth2.0 authentication, REST, with responses in either JSON or XML.

The Viki Platform Google Group.

Now this looks like a promising data set!

A couple of use cases for topic maps come to mind:

  • Entry in OPAC points patron mapping from catalog to videos from this database.
  • Entry returned from database maps to book in local library collection (via WorldCat) (more likely to appeal to me).

What use cases do you see?

Every Lost episode visualized and recreated

Wednesday, October 3rd, 2012

Every Lost episode visualized and recreated by Nathan Yau.

From the post:

Santiago Ortiz visualized every episode of the show in the interactive Lostalgic. It’s a set a four views that shows character occurrences and relationships and the lines they said during various parts of each episode.

The first view, shown above, is a bar chart vertically arranged by time, where each row represents an act. A profile picture is shown whenever the corresponding character says something. The next two views, the network graph and co-occurrence matrix show interactions between characters, and finally, if you want to relive it all over again, you can choose the reenactment, and the animation will cycle through the characters and scripts.

I have a confession to make before going any further: I have never seen an espisode of “Lost.” You have been warned.

Despite my ignorance of the show, this appears to be a truly amazing project.

I am sure there are fans of other TV shows who would volunteer to do something similar for their favorite show.

Of course, I would like to see them use topic maps, if for no other reason than to enable decentralized work flow and diverse semantic viewpoints of the same content.

Can you imagine an American Bandstand project on Github?

What TV series would you spend this sort of time on?