Abstract: A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of topics and subtopics is carried out for each parsed component. If a match is found, then the parsed component is taken as a chosen topic/subtopic label. If no match is found, then the parsed component is formatted as a new entry in the knowledge map. A translation function for translating topics and subtopics from an original language into one or more target languages is enabled by user request or indicated user preference for display on a generated visual map of knowledge information.

Abstract: A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of indices for the knowledge map and its topics and subtopics is carried out for the subject component. If a match is found, then the subject component is taken as the existing topic. If no match is found, then the subject component is formatted as a new entry in the knowledge map. Topic-related information content is stored in the repository referenced to the formatted topic. A similar process can be carried out for formatting predicate component(s). In this manner, input items of information can be quickly and conveniently added to the knowledge information map.

Abstract: A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of indices for the knowledge map and its topics and subtopics is carried out for the subject component. If a match is found, then the subject component is taken as the existing topic. If no match is found, then the subject component is formatted as a new entry in the knowledge map. Topic-related information content is stored in the repository referenced to the formatted topic. A similar process can be carried out for formatting predicate component(s). In this manner, input items of information can be quickly and conveniently added to the knowledge information map.

Abstract: A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of indices for the knowledge map and its topics and subtopics is carried out for the subject component. If a match is found, then the subject component is taken as the existing topic. If no match is found, then the subject component is formatted as a new entry in the knowledge map. Topic-related information content is stored in the repository referenced to the formatted topic. A similar process can be carried out for formatting predicate component(s). In this manner, input items of information can be quickly and conveniently added to the knowledge information map.