15. A computer based system configured to answer a text based question using one or more sources of information comprising: a user interface configured for input of the text based question and presentation of answers to and from a processor and memory; a syntax to semantics transformational algebra-based semantic rule set stored in the memory; a database of linearized tuple conceptual graphs (TCG) stored in the memory, which represents textual information; a syntactic parser executable on the processor configured to: parse text into tokens and semantically interpret the tokenized text, creating a plurality of linearized tuples corresponding to the text using the semantic rule set; and compare linearized tuples for input text to linearized tuples for semantically interpreted text contained in the associative database according to a linearized tuple conceptual graph (TCG) hierarchy, relation hierarchy, and node hierarchy, to find full or partial matches between the tuples corresponding to the input text and the database content; whereupon the syntactic parser receiving the text based question from the user interface: the question is parsed and tokenized; and the parsed and tokenize text is compared to linearized tuples for semantically interpreted text contained in the database; whereupon only finding partial matches between the linearized tuples for the text based question and the linearized tuples for text within the database: performing TCG joins between the partially matched linearized tuples from the database based either on partial tuple overlap or over any concept node argument to tuple information which comes from different texts, to combine content from the database into a new TCG reflecting new semantic information which is not fully or directly present in any individual textual source or previously stored in the database; and presenting, in the user interface, a text representation of the new TCGs as the answer to the question.
15. A computer based system configured to answer a text based question using one or more sources of information comprising: a user interface configured for input of the text based question and presentation of answers to and from a processor and memory; a syntax to semantics transformational algebra-based semantic rule set stored in the memory; a database of linearized tuple conceptual graphs (TCG) stored in the memory, which represents textual information; a syntactic parser executable on the processor configured to: parse text into tokens and semantically interpret the tokenized text, creating a plurality of linearized tuples corresponding to the text using the semantic rule set; and compare linearized tuples for input text to linearized tuples for semantically interpreted text contained in the associative database according to a linearized tuple conceptual graph (TCG) hierarchy, relation hierarchy, and node hierarchy, to find full or partial matches between the tuples corresponding to the input text and the database content; whereupon the syntactic parser receiving the text based question from the user interface: the question is parsed and tokenized; and the parsed and tokenize text is compared to linearized tuples for semantically interpreted text contained in the database; whereupon only finding partial matches between the linearized tuples for the text based question and the linearized tuples for text within the database: performing TCG joins between the partially matched linearized tuples from the database based either on partial tuple overlap or over any concept node argument to tuple information which comes from different texts, to combine content from the database into a new TCG reflecting new semantic information which is not fully or directly present in any individual textual source or previously stored in the database; and presenting, in the user interface, a text representation of the new TCGs as the answer to the question. 17. The system of claim 15 wherein the semantically interpreted text within a database is at least in part based on advertising media.