Neighborhood data via crawling
Fascinating story about how Professor Berk originally deduced which restaurants and hotels where in which New York neighborhoods. Manhattan is a city notorious for ever changing neighborhoods but Matthew figured out a simple way to crawl the information. The resulting graphs are very cool.

[…] Deriving Neighborhood data. An interesting post on OpenList’s approach to understanding neighborhoods. This aligns with my thoughts on the semantic web - most semantic meaning will be derived by ‘intelligent agents’, not defined by content owners. Thanks (Rahul and Niki). […]