1. A computer-implementable method for performing cognitive computing operations comprising: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources; incorporating enriched data resulting from the performed data enriching into the cognitive graph as nodes within the cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the defining comprising associating attributes with respective nodes of a set of nodes in the cognitive graph, links among the set of nodes being weighted to provide a weighted cognitive graph, weighting of the links representing a relevance between attributes associated with respective nodes; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user, the cognitive computing operation comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources.