1. A method for providing personalized controls for a semantic system, the method comprising: setting up, by a computer processor, an initial configuration for a local semantic network; defining, by the processor, business terms using semantic objects and semantic relations in the local semantic network, wherein the business terms are adapted to users of the local semantic network; providing, by the processor, a user interface for accessing the local semantic network; receiving, by the processor, a request for business data, the request including business terms; assessing, by the processor, a context of the business terms within the request using the local semantic network; transmitting, by the processor, the business terms to a central semantic network; wherein the central semantic network includes global business terminology classified for sub-groups of users; responsive to the transmitting, receiving, by the processor, an assessment of the context of the business terms by the central semantic network wherein the assessment by the central semantic network is based on a measurement by the central semantic network of a frequency of usage for the business terms by a user group to which a user of the local semantic network belongs; updating, by the processor, the semantic objects and relations for the business terms based on the assessment by each of the local and central semantic networks of the context and based on an additional assessment by a learnable contextual network, the learnable contextual network extending the semantic relations for the business terms based on cyclical updates of perceptrons of a neural network; and updating, by the processor, the personalized controls of the user interface based on the updated semantic objects and relations.