Abstract: A method for processing a natural language input provided by a user includes: providing a natural language query input to the user; performing, based on the input, a search of one or more language-based databases; providing, through a user interface, a result of the search to the user; identifying, for the one or more language-based databases, a finite number of database objects; and determining a plurality of combinations of the finite number of database objects. The one or more language-based databases include at least one metadata database including at least one of a group of information types including case information, keywords, information models, and database values.

Abstract: An NLI is provided that provides truly natural query capability to end users of enterprise databases as defined by its abilities to interpret any style of articulation and to learn from the users in a way that improves both effectiveness and efficiency. The strategy uses a concept referred to herein as search and learn. This approach recognizes implicit enumeration-evaluation as a basic solution paradigm to the problem of natural language queries. Based on this analysis, a reference dictionary is used that integrates enterprise metadata (information models and contextual knowledge) with case-based reasoning. The new design affects two vital functions: (1) the generation of all possible interpretations of a natural query suitable for evaluation, and (2) the reduction of the complexity of keywords and the growth of keywords.