links for 2008-05-16

Visited Stanford and the Bookstore – Bought only five

Between Where2.0 and WhereCamp i used the spare time to write bit more on some posts for my GoignPlaces miniseries (they are not quite finished but have gettting close) . I also paid a visit to Stanford and especially the bookstore. Very impressive selection of real computer-science books.

Too much to actually carry back home to Germany. Hence i decided not to buy various fascicles of TAOCP and quite some other books.

Finally i settled on the following five books: 3 computer science and two more popular science related books.

CS Books:

  • Jewels of Stringology (Maxime Crochemore, Wojciech Rytter) | Amazon (US)
  • Processing: Creative Coding and Computational Art (Ira Greenberg) | Amazon (US)
  • Aesthetic Computing (Paul A. Fishwick (Ed.) | Amazon (US)

Other:

  • One to Nine – The Inner Life of Numbers (Andrew Hodges) | Amazon (US)
  • Surely you’re joking Mr. Feynman – Adventures of a Curious Character (Richard P. Feynman) | Amazon (US)

BTW. : Does anybody know if and when Delicious Library 2 will finally get through the doors?

My Amazon aStore (US)

PS.: Couldn’t get the image upload working with WP2.5 (Covers will be added later)

Knight Foundation winners announced – Tim-Berners Lee among them

The Knight Foundation just announced the list of their winners. (Full List). Most notably, Tim Berners-Lee the inventor of the world wide web is among them, getting an grant (as part of an organization called the Media Standards Trust for a project called “Transparent Journalism” summarized as:

With the copious amounts of information – and misinformation – on the Internet, the public needs more help finding fair, accurate and contextual news. This project will create a system to do just that. The plan: to design a way for content creators to add information on their sources to their reports, as a form of “source tagging.” For instance, a reporter could note that an article was based on personal observations, interviews with eyewitnesses or specific, original documents. Filters would then use this data – the “story behind the story” – to help find high-quality articles. A reader searching the phrase “Pakistan riots” for example, might find 9,000 articles. But filtering by “eyewitness accounts” would yield a more selective list. Berners-Lee, Moore and the Web Science Research Initiative are working with the BBC and Reuters on how to best integrate the tagging into journalists’ normal workflow.

Since i’m also evangelizing the addition of various kinds of meta-data at the source and hard at work looking for ways how-to include them into the workflows and the legacy systems, it would be very interesting to exchange ideas and experiences.

Especially, it would be great go get a hold on TBLs ideas about representing journalistic data (e.g. content) and meta-data. I guess he is going to opt for  using (semantic) web standards instead of  “News Industry Standards” like NITF, NewsML G2 etc.