Homework 6

1.

a.

• When will cars be fully automated? http://www.dailymail.co.uk/news/article-393401/The-self-driving-Golf-Herbie-run-money.html
• Green energy technologies. http://www.greenchipstocks.com/articles/jatropha-biofuel/450
• Future of markup. http://xml.coverpages.org/coombs.html

b.

• The car has great precision and crash avoidance, including "sat-nav, collision avoidance sensors and anti-lock brakes." It can even go up to 150 mph, though it seems irrelevant.
• The jatropha plant can grow in arid conditions and spreads rapidly due to it being a weed. It also is inedible, so it does not compete with food crops. Perhaps it's a better alternative to petroleum than corn ethanol.
• Describes markup use for scholarly purposes, reasoning against procedural markup -- the old way -- and descriptive markup -- i.e. XML--like.
  

2.
a. Markup language could branch out into being a descriptive language not only for readable text data but also for images, audio files, etc. E.g. have all the faces in various pictures selected and given the tag "face." Then one could go and search "face" on the picture and have the portions of the picture which contain faces be highlighted.

b.
Local quality
Change an object's structure from uniform to non-uniform, change an external environment (or external influence) from uniform to non-uniform. (instead of procedural markup, replace it with descriptive markup of tags, allowing for better interpretation of data from the author's perspective.)

The other way around. (instead of searching for a particular item in a data set, make inferences by looking at what items you are presented with and use those.)

Partial or excessive actions. (be verbose, don't leave much ambiguity to the end-user.)

Feedback. (use user queries on similar data sets to determine if different data can be reconciled to reduce confusion in finding different but equivalent data.)

Cheap short-living objects. (for data that is produced and sent relatively quickly that is going to be integrated into a larger series, mark it up quickly for the tags will be replaced once in the larger set.)

Discarding and recovery. (retain mark-up data even after it has been processed, for reference or backup.)

Merging. (combine mark-up'd data with visual representation through logical relevancy for a quick overview or understanding of data.)