Four short links: 22 April 2011

Markov Logic Networks, Social News, Content Liberation, Rate Limiting Traffic

  1. Tuffy — a GPL v3 licensed Markov Logic Network inference engine in Java and PostgreSQL that claims to be more scalable than previous tools. (via Hacker News)
  2. Behind news.meif you are curious to see what they are reading, if you want to see the world through their eyes, News.me is for you. Many people curate their Twitter experience to reflect their own unique set of interests. News.me offers a window into their curated view of the world, filtered for realtime social relevance via the bit-rank algorithm. A friend and I have been using Instapaper for this, and I’m keen to see how it works. It’s interesting, though: the more people I “share” with, the less insight I get into any one person–it goes from being a mindmeld to ambient zeitgeist.
  3. Orbital ContentContent shifting allows a user to take a piece of content that they’ve identified in one context and make it available in another. […] Calling Instapaper a content shifter tells only half the story. It puts too much attention on the shifting and not enough on what needs to happen before a piece of content can be shifted. Before content can be shifted, it must be correctly identified, uprooted from its source, and tied to a user. This process, which I call “content liberation” is the common ground between Instapaper, Svpply, Readability, Zootool, and other bookmarklet apps. Content shifting, as powerful as it is, is just the beginning of what’s possible when content is liberated. I think they’re optimistic about liberation retaining attribution (there needs to be compelling self-interest to retain attribution) but otherwise love this piece. (via Courtney Johnston)
  4. Rate Limiting Traffic with Varnish (Dan Singerman) — I love that the technology which help you deliver web pages quickly also helps you deliver them not too quickly. (via John Clegg).
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