1. A method for refining cognitive insights using cognitive graph vectors comprising: storing data from a plurality of data sources within a cognitive graph via a cognitive inference and learning system, the cognitive graph representing a data domain; associating a first set of the data of the data domain within the cognitive graph with a first cognitive graph vector of a plurality of cognitive graph vectors via the cognitive inference and learning system, the first cognitive graph vector extending away from a cognitive graph nexus in a first direction; associating a second set of the data within the cognitive graph with a second cognitive graph vector of the plurality of cognitive graph vectors via the cognitive inference and learning system, the first cognitive graph vector extending away from a cognitive graph nexus in a first direction; processing the data from the plurality of data sources to provide cognitive insights via the cognitive inference and learning system; and refining the cognitive insights based upon a limitation relating to one of the plurality of cognitive graph vectors via the cognitive inference and learning system, the limitation corresponding to a selected cognitive graph vector parameter.
1. A method for refining cognitive insights using cognitive graph vectors comprising: storing data from a plurality of data sources within a cognitive graph via a cognitive inference and learning system, the cognitive graph representing a data domain; associating a first set of the data of the data domain within the cognitive graph with a first cognitive graph vector of a plurality of cognitive graph vectors via the cognitive inference and learning system, the first cognitive graph vector extending away from a cognitive graph nexus in a first direction; associating a second set of the data within the cognitive graph with a second cognitive graph vector of the plurality of cognitive graph vectors via the cognitive inference and learning system, the first cognitive graph vector extending away from a cognitive graph nexus in a first direction; processing the data from the plurality of data sources to provide cognitive insights via the cognitive inference and learning system; and refining the cognitive insights based upon a limitation relating to one of the plurality of cognitive graph vectors via the cognitive inference and learning system, the limitation corresponding to a selected cognitive graph vector parameter. 2. The method of claim 1 , wherein: the first cognitive graph vector comprises a plurality of first cognitive graph vector indices extending along the first cognitive graph vector away from a cognitive graph nexus; the second cognitive graph vector comprises a plurality of second cognitive graph vector indices extending along the second cognitive graph vector away from the cognitive graph nexus; the limitation comprises limiting the first set of data to data within a first certain index of the plurality of first cognitive graph vector indices; and the refining comprising limiting the second set of data to data within a second certain index of the second cognitive graph vector indices.