Facilitating answering questions involving reasoning over quantitative information

A computer-implemented method, comprising:

• transforming, by a system operatively coupled to a processor, a natural language query into a first logical representation, wherein the natural language query involves one or more mathematical computations;
• determining, by the system, a context of the natural language query based upon data collected related to an activity of a user associated with the natural language query;
• selecting, by the system, a domain from a plurality of domains based upon the context;
• and
• transforming, by the system, extrinsic knowledge associated with the domain into a second logical representation relevant to the natural language query;
• merging, by the system, the first logical representation and the second logical representation into a third logical representation;
• and
• generating, by the system, answers for the natural language query based on processing of the third logical representation, wherein the answers comprise respective confidence values for the answers, and a confidence value for an answer is based on a quantity of sources in the domain that have a same set of equations for determining the answer.

A computer program product for facilitating answering questions that involve mathematical computations, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• transform a natural language query into a first logical representation, wherein the natural language query involves one or more mathematical computations;
• determine a context of the natural language query based upon data collected related to an activity of a user associated with the natural language query;
• select a domain from a plurality of domains based upon the context;
• and
• transform extrinsic knowledge associated with the domain into a second logical representation relevant to the natural language query;
• merge the first logical representation and the second logical representation into a third logical representation;
• and
• generate answers for the natural language query based on processing of the third logical representation, wherein the answers comprise respective confidence values for the answers, and a confidence value for an answer is based on a quantity of sources in the domain that have a same set of equations for determining the answer.