The present design is directed to a cognitive system including a receiver configured to receive a set of actors and associated actor information and receive assets and their associated asset information, a creation apparatus configured to create data dictionary entries for a taxonomy based on the set of actors and the assets and create a cognitive model using the data dictionary entries for a time period, and a computing apparatus configured to compute trust of the cognitive model as a fuzzy number and activate the cognitive model if trust of the cognitive model is above a cognitive model trust threshold. When the cognitive model is activated, the cognitive modeling system is configured to schedule a collection of tasks to run that perform regular extraction of actions from an original data source and perform at least one anomaly analysis associated with the cognitive model.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A cognitive system comprising: a receiver configured to receive a set of actors and associated actor information and receive assets and their associated asset information; a creation apparatus configured to create data dictionary entries for a taxonomy based on the set of actors and the assets and create a cognitive model using the data dictionary entries for a time period; and a computing apparatus configured to compute trust of the cognitive model as a fuzzy number and activate the cognitive model if trust of the cognitive model is above a cognitive model trust threshold; wherein when the cognitive model is activated, the cognitive modeling system is configured to schedule a collection of tasks to run that perform regular extraction of actions from an original data source and perform at least one anomaly analysis associated with the cognitive model; wherein, for selected data dictionary entries, the cognitive modeling system is configured to normalize associated actor actions by converting at least one event to data dictionary format, insert at least one normalized terrain entry into the cognitive model, and update the cognitive model. 2. The cognitive modeling system of claim 1, wherein the computing apparatus comprises a series of node devices, comprising a series of processor nodes configured to provide data to a series of aggregator nodes. 3. The cognitive modeling system of claim 1, wherein the anomaly analysis determines a severity and degree of inconsistency from normal behavior. 4. The cognitive modeling system of claim 1, wherein the cognitive modeling system is further configured to perform a threat detection comprising an importance value assigned to a resource. 5. The cognitive modeling system of claim 1, wherein the computing apparatus normalizes, migrates, supervises and analyzes data to identify issues between actors in the taxonomy. 6. The cognitive modeling system of claim 2, wherein the taxonomy comprises a common language understood by the series of node devices such that data can be shared between the series of node devices. 7. A cognitive modeling system comprising: a receiver configured to receive a set of actors, associated actor information, assets, and associated asset information; a creation apparatus configured to create data dictionary entries for a taxonomy based on the set of actors and the assets and create a cognitive model using the data dictionary entries applicable to a time period; and a computing apparatus configured to compute trust of the cognitive model as a fuzzy number and activate the cognitive model if trust of the cognitive model is above a cognitive model trust threshold. 8. The cognitive modeling system of claim 6, wherein when the cognitive model is activated, the cognitive modeling system is configured to schedule a collection of tasks to run that perform regular extraction of actions from an original data source and perform at least one anomaly analysis associated with the cognitive model. 9. The cognitive modeling system of claim 6, wherein, for selected data dictionary entries, the cognitive modeling system is configured to normalize associated actor actions by converting at least one event to data dictionary format. 10. The cognitive modeling system of claim 6, wherein, for selected data dictionary entries, the cognitive modeling system is configured to insert at least one normalized terrain entry into the cognitive model 11. The cognitive modeling system of claim 6, wherein, for selected data dictionary entries, the cognitive modeling system is configured to update the cognitive model. 12. The cognitive modeling system of claim 6, wherein the computing apparatus comprises a series of node devices, comprising a series of processor nodes configured to provide data to a series of aggregator nodes. 13. The cognitive modeling system of claim 6, wherein the anomaly analysis determines a severity and degree of inconsistency from normal behavior. 14. The cognitive modeling system of claim 6, wherein the cognitive modeling system is further configured to perform a threat detection comprising an importance value assigned to a resource. 15. The cognitive modeling system of claim 6, wherein the computing apparatus normalizes, migrates, supervises and analyzes data to identify issues between actors in the taxonomy. 16. A cognitive modeling method comprising: receiving at a hardware computing arrangement, comprising a number of processor nodes and a number of aggregator nodes, a set of actors, associated actor information, assets, and associated asset information; creating data dictionary entries for a taxonomy based on the set of actors and the assets; creating a cognitive model using the data dictionary entries for a time period; computing trust of the cognitive model as a fuzzy number; activating the cognitive model if trust of the cognitive model is above a cognitive model trust threshold; when the cognitive model is activated, scheduling a collection of tasks to run that perform regular extraction of actions from an original data source and perform at least one anomaly analysis associated with the cognitive model; and for selected data dictionary entries, normalizing associated actor actions by: converting at least one event to data dictionary format; inserting at least one normalized terrain entry into the cognitive model; and updating the cognitive model. 17. The cognitive modeling method of claim 16, wherein anomaly analysis determines a severity and degree of inconsistency from normal behavior. 18. The cognitive modeling method of claim 16, further comprising performing a threat detection comprising an importance value assigned to a resource. 19. The cognitive modeling method of claim 16, wherein the taxonomy comprises a common language understood by the series of node devices such that data can be shared between the series of node devices.