Automatic hypertext link generation based on conceptual graphs

An efficient way of automatic link generation for a high quality hypertext is described in this article. The syntactic information is not enough to select the correct destination node for a button in a hypertext. The information besides syntactic information such as semantic information and even background knowledge are indispensable. In order to utilize the information, a partner concept table is used along with the ideas of canonical graph and conformity relation in conceptual graph theory. A conceptual graph representation form called U-Form is presented here for efficient processing of conceptual graphs in a machine.