1. A method operable on a computer for processing a financially related document to identify, classify and index first level concepts contained therein, the method comprising the steps of: (a) receiving said financially related document as input; (b) parsing the received financially related document to identify structural zones including: a chapter, a section, a page or a paragraph; logical zones including: a text, an image or a chart; and first level concepts within concept zones including key-words and financial entity symbols excluding said key-words, said parsing comprising: i) identifying a format type of said financially related document; ii) using the identified format type to identify structural identifiers within said document; iii) identifying structural zones using said identified structural identifiers; iv) processing digital data within each identified structural zones and evaluating the processed digital data to identify anticipated logical zones; v) parsing each of said identified logical zones to identify said first level concepts and concept zones, comprising: a) identifying first level concepts by counting a frequency of a predetermined number of keywords and their proximity to one another relative to the structural and logical zones within the document; b) identifying a concept zone as a region within a particular structural or logical zone that includes a higher frequency of a particular predetermined keyword relative to other keywords in said region; vi) parsing each of said identified logical zones using a hierarchical high-level concept parser to identify first level concepts within said concept zones; (c) creating a content description meta-document concurrently with parsing the received financially related document in step (b) by mapping the identified structural zones and logical zones into said meta-document to derive a fully normalized structural description of the content of the financially related document which is independent of the format of the original financially related document to identify the structural zones, logical zones, and concept zones identified within the financially related document; (d) processing the concept zones of the data description meta-document to identify sub-concepts contained therein by searching the concept zones for sub-concept keywords identified in a key-word directory as being subservient to a concept; and (e) using the data description meta-document to create one or more user indices of the identified first level concepts and sub-concepts identified with the financially related document.
1. A method operable on a computer for processing a financially related document to identify, classify and index first level concepts contained therein, the method comprising the steps of: (a) receiving said financially related document as input; (b) parsing the received financially related document to identify structural zones including: a chapter, a section, a page or a paragraph; logical zones including: a text, an image or a chart; and first level concepts within concept zones including key-words and financial entity symbols excluding said key-words, said parsing comprising: i) identifying a format type of said financially related document; ii) using the identified format type to identify structural identifiers within said document; iii) identifying structural zones using said identified structural identifiers; iv) processing digital data within each identified structural zones and evaluating the processed digital data to identify anticipated logical zones; v) parsing each of said identified logical zones to identify said first level concepts and concept zones, comprising: a) identifying first level concepts by counting a frequency of a predetermined number of keywords and their proximity to one another relative to the structural and logical zones within the document; b) identifying a concept zone as a region within a particular structural or logical zone that includes a higher frequency of a particular predetermined keyword relative to other keywords in said region; vi) parsing each of said identified logical zones using a hierarchical high-level concept parser to identify first level concepts within said concept zones; (c) creating a content description meta-document concurrently with parsing the received financially related document in step (b) by mapping the identified structural zones and logical zones into said meta-document to derive a fully normalized structural description of the content of the financially related document which is independent of the format of the original financially related document to identify the structural zones, logical zones, and concept zones identified within the financially related document; (d) processing the concept zones of the data description meta-document to identify sub-concepts contained therein by searching the concept zones for sub-concept keywords identified in a key-word directory as being subservient to a concept; and (e) using the data description meta-document to create one or more user indices of the identified first level concepts and sub-concepts identified with the financially related document. 11. The method of claim 1 , wherein the step of parsing the received financially related document to identify structural zones, logical zones and first-level concept zones, further comprises: identifying a format type of said financially related document; using the identified format type to identify structural identifiers within the document; using the identified structural identifiers to identify structural zones of the document; processing the identified structural zones to identify logical components contained within the structural zones; and parsing each of said logical components to identify first level concepts within individual concept zones.