PUBLIC MARKS from Spone with tag wikipedia

I'm happy to offer up a full REST-ful API service for developers wishing to search for Wikipedia articles by location. The data is gathered by downloading the Wikipedia database on a weekly basis and then parsing all of the geocoded entries. This data is then stored in a database where it is able to be accessed via the API. At present, there are over 3.5 million entries covering 36 different languages and this number increases every week.

Wikipedia the remarkable & collaborative free encyclopedia is ready for video! Millions of people read articles on Wikipedia every day. Soon, they will also watch. The right video can enrich a Wikipedia entry and enlighten people around the world. Anyone can make a great video. Get started today...

WikiReader is an electronic encyclopedia giving physical form to Wikipedia. Now you can take it with you wherever you go.

Faviki is a social bookmarking tool that lets you tag bookmarks using Wikipedia concepts as tags. Faviki lets you keep your own tags and connect them to common, universal concepts from the world's largest collection of knowledge!

So did the Gang of 500 actually write Wikipedia? Wales decided to run a simple study to find out: he counted who made the most edits to the site. “I expected to find something like an 80-20 rule: 80% of the work being done by 20% of the users, just because that seems to come up a lot. But it’s actually much, much tighter than that: it turns out over 50% of all the edits are done by just .7% of the users … 524 people. … And in fact the most active 2%, which is 1400 people, have done 73.4% of all the edits.” The remaining 25% of edits, he said, were from “people who [are] contributing … a minor change of a fact or a minor spelling fix … or something like that.”

DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.