More on filtering and knowledge, this from David Weinberger. Specifically, "The real problem isn't the DIKW's hijacking of the word 'knowledge' but its implication that knowledge derives from filtering information. It doesn't. We can learn some facts by combing through databases. We can see some true correlations by running sophisticated algorithms over massive amounts of information. All that's good. But knowledge is not a result merely of filtering or algorithms. It results from a far more complex process." DIKW stands for the 'Data - Information - Knowledge - Wisdom' hierarchy. In view of this, tries again.