big data in search of meta data
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Big Data in Search of Meta Data
Prof Dr Dirk Baecker Content Strategy Forum Conference, Frankfurt am Main, 1-‐3 July 2014
Metadata Defined Metadata are not just about • addresses, • (strong and weak)
connecHons, • (high and low) frequencies, • structural holes, • bridges, • and structural equivalencies
(network analysis) but also about any kind of data able to sort data (Bagley 1968). Which means that you have to know how to ask in order to be able to find out.
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E.g., the Influence Matrix Prob (ht(c') | ht-‐1(1), …, ht-‐1(C)) with h = hidden behavior of a person c of a group of people C.
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Or else, an Ac<on Matrix Prob (ht(c') | ht-‐1(1), …, ht-‐1(C)| ht+1(1), …, ht+1(C)) h = hidden behavior determined by: • purpose/system and • future/evoluHon, within the limits of: • complexity/
environment, with t+1 = unknown, C = fluctuaHng, and Prob = uncertain.
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A Metadata Matrix • A Calculus of Limits. • Behavior is unpredictable
because it is structure-‐determined – and you don't know which structure prevails.
• Content strategy is about possible, yet improbable in-‐form-‐ac4on.
• Pick your favorite observer. • Ask for metadata that let
you correct your expectaHons of observers' behavior.
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