6. A system for characterizing a subject annotator according to a reference annotation type system, comprising: a machine-readable storage medium; a machine-readable code, stored on said machine-readable storage medium, having instructions for the machine to apply a plurality of document annotators using a common annotation type system, stored on said machine-readable storage medium; providing a machine-readable plurality of documents, stored on said machine-readable storage medium; a machine-readable code, stored on said machine-readable storage medium, having instructions for annotating each of said plurality of documents using at least one of said document annotators to generate a pre-annotated reference document set; a machine-readable code, stored on said machine-readable storage medium, having instructions for annotating said plurality of documents using said subject annotator to generate an evaluation annotated document set; a machine-readable code, stored on said machine-readable storage medium, having instructions for comparing at least one of said documents in said evaluation annotated document set to its corresponding documents in said pre-annotated reference document set, to generate a matching data representing matches in location, within said compared documents, between instances of annotations using the subject annotation type system and instances of annotations using the common annotation type system; a machine-readable code, stored on said machine-readable storage medium, having instructions for selecting, based on said matching data, a reference document annotation type system, comprised of one or more types from said common annotation type system, that meets a pre-determined correlation criterion with respect to said subject annotation type system; and a machine-readable code, stored on said machine-readable storage medium, having instructions for identifying a taxonomy category for at least one annotation type in said reference annotation type system from among a set of known industry taxonomies.
6. A system for characterizing a subject annotator according to a reference annotation type system, comprising: a machine-readable storage medium; a machine-readable code, stored on said machine-readable storage medium, having instructions for the machine to apply a plurality of document annotators using a common annotation type system, stored on said machine-readable storage medium; providing a machine-readable plurality of documents, stored on said machine-readable storage medium; a machine-readable code, stored on said machine-readable storage medium, having instructions for annotating each of said plurality of documents using at least one of said document annotators to generate a pre-annotated reference document set; a machine-readable code, stored on said machine-readable storage medium, having instructions for annotating said plurality of documents using said subject annotator to generate an evaluation annotated document set; a machine-readable code, stored on said machine-readable storage medium, having instructions for comparing at least one of said documents in said evaluation annotated document set to its corresponding documents in said pre-annotated reference document set, to generate a matching data representing matches in location, within said compared documents, between instances of annotations using the subject annotation type system and instances of annotations using the common annotation type system; a machine-readable code, stored on said machine-readable storage medium, having instructions for selecting, based on said matching data, a reference document annotation type system, comprised of one or more types from said common annotation type system, that meets a pre-determined correlation criterion with respect to said subject annotation type system; and a machine-readable code, stored on said machine-readable storage medium, having instructions for identifying a taxonomy category for at least one annotation type in said reference annotation type system from among a set of known industry taxonomies. 10. The system of claim 6 , wherein said instruction for selecting include instructions for detecting whether none of said reference document annotation type systems meets said pre-determined correlation criterion and, in response to said detecting, generating a data indicating a match failure.