Artificially intelligent metal detector for the needle in the haystack of knowledge
There are individuals who are immensely knowledgeable. And yet, as Maria von Ebner-Eschenbach tells us, “knowledge expands when it is shared.” But does knowledge that has been gathered in vast knowledge bases always remain free of errors? And how does one go about drawing accurate conclusions from collected knowledge? Patrick Rodler, Post Doc at the Department of Applied Informatics, is working on artificially intelligent error detection and error correction in knowledge bases.
