A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a data source; determining whether the data comprises text; processing the data, the processing comprising performing a natural language processing operation on the data, the processing the data identifying a plurality of knowledge elements based upon the natural language processing operation; and, storing at least some of the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a data source; determining whether the data comprises text; processing the data, the processing comprising performing a natural language processing operation on the data, the processing the data identifying a plurality of knowledge elements based upon the natural language processing operation; and, storing at least some of the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data. 2. The system of claim 1, wherein: the ingesting further comprises identifying the plurality of knowledge elements by performing a parsing operation on the text, the parsing operation producing a plurality of parse trees. 3. The system of claim 1, wherein: the processing further comprising performing a machine learning operation on the plurality of knowledge elements, the machine learning operation resolving which knowledge elements within the parse tree provide a best result representing a meaning of the text, the machine learning operation identifying knowledge elements of the plurality of parse trees representing ambiguous portions of the text. 4. The system of claim 3, wherein: the machine learning operation resolves the plurality of parse trees to a best tree representing an interpretation of the ambiguous portions of the text. 5. The system of claim 2, wherein: the processing further comprises performing a conceptualization operation on the plurality of knowledge elements, the conceptualization operation identifying a relationship of concepts identified from within the plurality of parse trees produced via the parsing operation and storing knowledge elements within the cognitive graph in a configuration representing the relationship of concepts. 6. The system of claim 5, wherein: the conceptualization operation identifies the relationships of the concepts using information stored within the cognitive graph. 7. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for: receiving data from a data source; determining whether the data comprises text; processing the data, the processing comprising performing a natural language processing operation on the data, the processing the data identifying a plurality of knowledge elements based upon the natural language processing operation; and, storing at least some of the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data. 8. The non-transitory, computer-readable storage medium of claim 7, wherein: the ingesting further comprises identifying the plurality of knowledge elements by performing a parsing operation on the text, the parsing operation producing a plurality of parse trees. 9. The non-transitory, computer-readable storage medium of claim 8, wherein: the processing further comprising performing a machine learning operation on the plurality of knowledge elements, the machine learning operation resolving which knowledge elements within the parse tree provide a best result representing a meaning of the text, the machine learning operation identifying knowledge elements of the plurality of parse trees representing ambiguous portions of the text. 10. The non-transitory, computer-readable storage medium of claim 9, wherein: the machine learning operation resolves the plurality of parse trees to a best tree representing an interpretation of the ambiguous portions of the text. 11. The non-transitory, computer-readable storage medium of claim 8, wherein: the processing further comprises performing a conceptualization operation on the plurality of knowledge elements, the conceptualization operation identifying a relationship of concepts identified from within the plurality of parse trees produced via the parsing operation and storing knowledge elements within the cognitive graph in a configuration representing the relationship of concepts. 12. The non-transitory, computer-readable storage medium of claim 11, wherein the conceptualization operation identifies the relationships of the concepts using information stored within the cognitive graph. 13. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are deployable to a client system from a server system at a remote location. 14. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.