5. The computer-implemented method of claim 1 , wherein said one or more value measurement categories comprise at least one element selected from the group consisting of (i) height, (ii) width, (iii) length, (iv) distance, (v) area, (vi) surface area, (vii) velocity, and (viii) temperature.
1. A computer-implemented method, comprising: determining (i) each of one or more variables with a stated numerical value in a textual query and (ii) each of one or more variables without a stated numerical value in the textual query by performing semantic analysis on the textual query; normalizing each of the stated numerical values corresponding to one or more of the determined variables by automatically converting each of the stated numerical values corresponding to the one or more of the determined variables to a pre-determined canonical form, wherein said normalizing comprises processing one or more value measurement categories (i) associated with the stated numerical values and (ii) represented by natural language in the textual query; mapping (i) all of the determined variables and (ii) the normalized values corresponding to the one or more of the determined variables to a pre-defined dependency formulae graph; and generating a solution to the textual query by automatically computing a numerical value for each of the one or more determined variables without a stated numerical value by implementing a graphical model inference mechanism against the pre-defined dependency formula graph subsequent to said mapping, wherein said implementing the graphical model inference mechanism comprises inferring application of one or more distinct formulae among the pre-defined dependency formulae graph related to computing a numerical value for each of the one or more determined variables without a stated numerical value; wherein the steps are carried out by at least one computing device.