microformats
Get flash to fully experience Pearltrees
tutorial
Snippets—the few lines of text that appear under every search result—are designed to give users a sense for what’s on the page and why it’s relevant to their query. If Google understands the content on your pages, we can create rich snippets—detailed information intended to help users with specific queries. For example, the snippet for a restaurant might show the average review and price range; the snippet for a recipe page might show the total preparation time, a photo, and the recipe’s review rating; and the snippet for a music album could list songs along with a link to play each song.
Marking up structured data - Webmasters/Site owners Help
Value Class Pattern
The value-class-pattern solves two of the three most challenging issues that microformats have encountered in their entire history: accessibility and localization. After many long months of focused iterating (repeatedly researching, brainstorming, testing, documenting) led by Ben Ward , the value-class-pattern alpha draft is ready to use and support. Publish and implement
Google Implements Social Graph API and hCard in Profiles - ReadW
this February, Google released its Social Graph API , which allows developers to give users the option to easily find data on their social connections around the web. Google itself, however, hasn't really implemented any of this technology yet. Starting today, however, it seems Google is starting to surface some of this information from your Social Graph in your Google Profile , which might be a first sign that Google is planning to do more with these profiles than it has done so far.“If you want to inform yourself of the basic principles of attention profiling or need to explain the concept to others then please read on.
Basics of Attention Profiling through APML
microformats
The microformats.org community recently celebrated its 5th birthday – five plus years of openly researching, creating, and iterating on web standards to express common semantics designed for humans first, machines second.