Patent Document ID: 9111248
Application ID: 13432727

Base Claim:
1. A system for building a query knowledge model using natural language based text, the system comprising: a processor configured to a. form an initial training set by compiling a collection of natural language text queries and corresponding system response information related to a sub system; and b. build the query knowledge model by analyzing and processing the collection of natural language text queries in the initial training set by i. searching a natural language text query of the collection of natural language text queries for at least one command word by comparing words in the natural language text query to a command library and, in the event a word in the natural language text query is identified as a command word, identifying the word as a command, ii. parameterizing additional words in the natural language text query as at least one of a category, a module, an adjective, an entity, and a region, iii. identifying a response ID of the natural language text query, iv. storing the command, the parameterized additional words, and the identified response ID as a record set of the query knowledge model, and v. repeating the steps i-iv for each of the remaining natural language text queries of the collection of natural language text queries to create the query knowledge model based out of the initial training set.

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Claim 2:
2. The system of claim 1 , wherein the processor is configured to build at least one of a spend analysis function specific, Spend Query Knowledge Model, a sourcing function specific, Sourcing Query Knowledge Model, an organizational performance metric based Performance Metric Query Knowledge Model, a contract management function specific, Contract Query Knowledge Model, a Procure-to-pay function specific, Procure-to-pay Query Knowledge Model, and a Supplier base management function specific, Supplier Base Query Knowledge Model.