1. A cascading learning system comprising: a request analyzer configured to receive a request for search terms from a client application, the request analyzer having a normalization manager, a semantic parser, and a context builder, the normalization manager configured to normalize the search terms, the semantic parser configured to parse the normalized search terms to determine semantic concepts, definitions, and relations, the context builder configured to build context into the normalized search terms using the semantic concepts, definitions, and relations and to generate a normalized semantic request based on the context; a request dispatcher and classifier configured to classify and dispatch the normalized semantic request to a corresponding domain-specific module; a search module container comprising a plurality of domain-specific modules, each domain-specific module configured to generate a prediction with a trained probability of an expected output; a terminology manager configured to receive the normalized semantic request from the request dispatcher and classifier, and to manage terminology stored in a contextual network; and a cluster manager configured to control data flow between the request dispatcher and classifier, the search module container, the terminology manager, and a business data source system.