[nekopa]

I think you have to shift the graph: what you have under info- rss atom etc, should move up to the data position.

Then what? You could do something simple like keyword grouping - '500 news events including the word "drone"' but I feel that is not enough. Take it further and use semantics to do sentiment analysis maybe? '50 data point talking positively about airbnb today'

But I still think there is something missing. I'm interested in any other thoughts you may have, especially after shifting info-now down to data, what would be 'new' knowledge or wisdom?

[anonyfox]

Okay, my thoughts now are something like this:

data: RSS/Atom stuff

information: do a basic keyword-analysis of the news snippets, maybe with some natural language processing, push it all into a graph database, using meaningful nouns as nodes and verbs as edges. Think of something like DBpedia, but with tiny information pieces and high interconnectedness between. This would be good structured "information", right?

knowledge: define some sophisticated query language / data endpoint, ideally again with some natural language processing, to discover the informations in the graph. the result of such a sophisticated query i'd call 'knowledge'.

wisdom: ?? <-- no idea yet, sorry.