Let's Hook HAL Up To Wikipedia
from the skynet-is-active dept
Giving artificial intelligence systems a database of factual wisdom to pull from while “thinking” has always been a problem, with some researchers feeding systems for decades in order to build functional knowledge repositories. A new project takes a shortcut, and uses Wikipedia as a foundation for AI system world knowledge — in order to help the system “think smarter,” and make common sense and broad-based connections between topics. While existing search systems and e-mail filters fake intelligence through statistical analysis of word frequencies, researchers in Israel are trying to build systems that can use vast pools of Wikipedia information to glean meaning and filter accordingly. We’ve discussed how cramming a system full of knowledge isn’t always the answer — instead what’s important is the ability to parse out useful information from garbage. It will be the system’s ability to do the latter that will obviously determine success. Early applications include intelligent spam filters, but the researchers behind the patent-pending project hint they’re planning to market the system to the intelligence community as well. Parsing out meaning will be one thing — sorting through pages of inane Wikipedia wars may require a few more decades of AI development.