17. A color management method comprising: storing a plurality of issue description templates in computer memory, each of the issue description templates being configured for guiding a user in formulating a problem statement, the user-formulated problem statement characterizing, in natural language, a perceived problem related to color identified in an input document and color of the input document when rendered on an associated rendering device, each of the issue description templates including an issue description related to a different problem, the issue description including an ordered arrangement of nodes including field nodes corresponding to a plurality of fields, at least some of which are fillable by a user, and production and morphological rules, the production rules modeling how values of nodes influence other nodes for propagating features of filled fields of the issue description to one or more other fields of the issue description, the morphological rules each describing a syntactic relationship between at least two of the nodes; receiving an input document; providing for input from a problem detector configured for automatically identifying a problem when there is an expected difference in color between the input document and color of the input document when it is rendered using characteristics of an associated rendering device; with a processor, instantiating one of the issue description templates based on information from at least one of the detector and a user concerning a problem related to color identified in the input document; iteratively refining a problem statement, comprising: presenting at least one of the fillable fields to a user and integrating user selected content of the filled fields; applying the production rules; and applying the morphological rules; thereby generating a refined problem statement in natural language form; and determining a correction to be applied to the image based on the refined problem statement.
17. A color management method comprising: storing a plurality of issue description templates in computer memory, each of the issue description templates being configured for guiding a user in formulating a problem statement, the user-formulated problem statement characterizing, in natural language, a perceived problem related to color identified in an input document and color of the input document when rendered on an associated rendering device, each of the issue description templates including an issue description related to a different problem, the issue description including an ordered arrangement of nodes including field nodes corresponding to a plurality of fields, at least some of which are fillable by a user, and production and morphological rules, the production rules modeling how values of nodes influence other nodes for propagating features of filled fields of the issue description to one or more other fields of the issue description, the morphological rules each describing a syntactic relationship between at least two of the nodes; receiving an input document; providing for input from a problem detector configured for automatically identifying a problem when there is an expected difference in color between the input document and color of the input document when it is rendered using characteristics of an associated rendering device; with a processor, instantiating one of the issue description templates based on information from at least one of the detector and a user concerning a problem related to color identified in the input document; iteratively refining a problem statement, comprising: presenting at least one of the fillable fields to a user and integrating user selected content of the filled fields; applying the production rules; and applying the morphological rules; thereby generating a refined problem statement in natural language form; and determining a correction to be applied to the image based on the refined problem statement. 19. The method of claim 17 , further comprising communicating the determined correction to a selected one of a plurality of associated correctors for correction of the image.