9. An apparatus comprising: a hardware processor, a memory-based database comprising semantic objects definitions and semantic relations definitions of a meta-model of business objects from a meta-model semantic network, the semantic relations definitions based on connections between semantic objects; a contextual network coupled to the memory-based database, the contextual network comprising a neural network, and semantic objects definitions and relation definitions, the semantic objects definitions and semantic relations definitions defining nodes that link a term to a knowledge domain and a concept, the neural network formed based on usage of the semantic objects and the semantic relations, neural network configuration data, neural network training data, and calculated prediction data generated during usage of the neural network; and a learning module coupled to the contextual network comprising a semantic object statistic controller implemented by the hardware processor, the semantic object statistic controller configured to perform a statistical analysis of the connections between the semantic objects in the contextual network to identify stronger semantic relations, to update the neural network with the identified stronger semantic relations of semantic objects in the contextual network, and to update the contextual network based on the updated neural network.
9. An apparatus comprising: a hardware processor, a memory-based database comprising semantic objects definitions and semantic relations definitions of a meta-model of business objects from a meta-model semantic network, the semantic relations definitions based on connections between semantic objects; a contextual network coupled to the memory-based database, the contextual network comprising a neural network, and semantic objects definitions and relation definitions, the semantic objects definitions and semantic relations definitions defining nodes that link a term to a knowledge domain and a concept, the neural network formed based on usage of the semantic objects and the semantic relations, neural network configuration data, neural network training data, and calculated prediction data generated during usage of the neural network; and a learning module coupled to the contextual network comprising a semantic object statistic controller implemented by the hardware processor, the semantic object statistic controller configured to perform a statistical analysis of the connections between the semantic objects in the contextual network to identify stronger semantic relations, to update the neural network with the identified stronger semantic relations of semantic objects in the contextual network, and to update the contextual network based on the updated neural network. 14. The apparatus of claim 9 , wherein the contextual network is configured to use a machine learning algorithm to create and optimize the neural network, to integrate the optimized neural network into the contextual network, and to expose the contextual network for usage by a business user.