12. A system for providing a personalized semantic controls, the system comprising: a local database for storing business data related to an enterprise, the local database including a local semantic network; a central database for storing business data related to the enterprise, the central database including a central semantic network; a user input-output device coupled to the database; a processor responsive to inputs from the user input device and coupled to the local database, the processor configured to: set up an initial configuration for the local semantic network; build objects and relations in the local semantic network; receive a user request for business data; assess a context of the business data using the local semantic network; retrieve, using a semantic dispatcher, an assessment of the context of the business data by a central semantic network wherein the assessment is based on a measurement of a frequency of usage for the business terms by a user group to which a user of the local semantic network belongs; update indexes and semantic indexes based on the assessment by each of the local and central semantic networks, wherein the indexes are used to search the objects in the semantic network and the semantic indexes are used to search the relations in the semantic network 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 update controls of the user input-output device based on the updated indexes and semantic indexes.
12. A system for providing a personalized semantic controls, the system comprising: a local database for storing business data related to an enterprise, the local database including a local semantic network; a central database for storing business data related to the enterprise, the central database including a central semantic network; a user input-output device coupled to the database; a processor responsive to inputs from the user input device and coupled to the local database, the processor configured to: set up an initial configuration for the local semantic network; build objects and relations in the local semantic network; receive a user request for business data; assess a context of the business data using the local semantic network; retrieve, using a semantic dispatcher, an assessment of the context of the business data by a central semantic network wherein the assessment is based on a measurement of a frequency of usage for the business terms by a user group to which a user of the local semantic network belongs; update indexes and semantic indexes based on the assessment by each of the local and central semantic networks, wherein the indexes are used to search the objects in the semantic network and the semantic indexes are used to search the relations in the semantic network 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 update controls of the user input-output device based on the updated indexes and semantic indexes. 15. The system of claim 12 , wherein the central semantic network is remote from the user input-output device.