1. A computer program product comprising a computer-readable storage medium having a set of instructions stored therein which, when executed by a processor, causes the processor to determine a significance ranking for discovered relationships by: ingesting a first body of information for a domain of knowledge; receiving a natural language question corresponding to the domain of knowledge, the natural language question being in the form of a complete human language question; parsing the natural language question to identify a focus within the text of the natural language question; mining the body of information for found entities disclosed within the body of information; determining relationships among found entities based on the focus identified within the text of the natural language question; generating a targeting document for the domain of knowledge containing a first relationship and a second relationship, the first and second relationships being relationships among found entities determined from the first body of information; recording mining data for relationships in the targeting document in support of an importance criteria; ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge; wherein: the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree.
1. A computer program product comprising a computer-readable storage medium having a set of instructions stored therein which, when executed by a processor, causes the processor to determine a significance ranking for discovered relationships by: ingesting a first body of information for a domain of knowledge; receiving a natural language question corresponding to the domain of knowledge, the natural language question being in the form of a complete human language question; parsing the natural language question to identify a focus within the text of the natural language question; mining the body of information for found entities disclosed within the body of information; determining relationships among found entities based on the focus identified within the text of the natural language question; generating a targeting document for the domain of knowledge containing a first relationship and a second relationship, the first and second relationships being relationships among found entities determined from the first body of information; recording mining data for relationships in the targeting document in support of an importance criteria; ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge; wherein: the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree. 9. The computer program product of claim 1 , wherein the natural language question is presented as a training question corresponding to a new document to be added to the first body of information.