1. A method for relational analysis of input items of information, each having a title, header or subject line and content to which it refers, said method to be performed on a computer system operable with a visual mapping software program for creating a visual map of input items of knowledge information related to a given theme and to each other as topics and subtopics in order to create a visual map of knowledge information of the given theme, said computer system including a storage repository for storing information content related to the given theme for topic and subtopics referenced on the visual map of knowledge information, said method comprising: a) parsing a title, header, or subject line for an input item of information into syntactical components of at least a subject component and any predicate component syntactically related thereto; b) determining the subject component as a topic and any predicate component as a subtopic relationally linked thereto; c) searching a topic-subtopic index of the knowledge information map for any existing topics or subtopics created therein for a match to said subject component syntactically parsed from the input item of information; d) if a match to an existing topic or subtopic is found, then formatting said subject component to be displayed the same as the existing topic or subtopic, and if no match is found, then formatting said subject component to be displayed as a new topic in the existing knowledge information map, and also formatting said predicate component to be displayed as a subtopic of the displayed topic, whereby input items of information can be quickly and conveniently added to the knowledge information map to be created and maintained on the computer system, wherein parsed input components are automatically formatted into an existing knowledge map by checking them against indices of topics and subtopics maintained by the computer system, and wherein the parsed input components are checked against a hierarchy of indices in the following order: a) root directory of knowledge maps, with links to listed subsidiary maps; b) specific knowledge map with name of subject, with links to listed topics; c) specific topics with name of subject, with links to listed subtopics; and d) specific subtopics with name of subject, with links to listed sub-subtopics.