Ranking of Parse Options Using Machine Learning

1 . A computer-implementable method for managing a cognitive graph comprising:

receiving data from a data source;

processing the data, the processing comprising performing a parsing operation on the data, the processing the data identifying a plurality of knowledge elements based upon the parsing operation, the parsing operation comprising ranking of parse options; and,

storing the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data.

2 . The method of claim 1 , further comprising:

providing a parse ranking rule set; and

ranking the parse options using the parse ranking set, the ranking providing a determination of highly ranked parse options.

3 . The method of claim 1 , further comprising:

providing a parse rule set; and wherein

using the parse rules set when performing the parsing operation.

4 . The method of claim 3 , further comprising:

generating a set of parse options by performing the parsing operation using the parse rule set, the parse options representing respective parse trees within a parse forest.

5 . The method of claim 4 , further comprising:

performing conceptualization processes on the highly ranked parse options to provide a set of conceptualization ambiguity options.

6 . The method of claim 5 , wherein:

applying a conceptualization rule set to the set of conceptualization ambiguity options; and,

ranking the set of conceptualization ambiguity options to provide highly ranked conceptualization options.