| 摘要 |
A query answer engine converts a query and answers into a non-natural language forming units that correspond to words, symbols, numbers and spaces and combinations of the above, and establishes the contextual meaning of the units utilizing read, recognize and relate processes to populate a query matrix and an answer matrix with 3-valued points corresponding to the read, recognize and relate values of a unit. The two matrices are cross correlated to yield a robust answer to a query taking into account context. The conversion of text to units uses contextual meaning parametric tables, databases, libraries, rules and an engine for determining the focal point of a query or an answer. |
