Knowledge-based interpretation of utility maps

In this paper a knowledge-based approach to the interpretation of public utility maps is presented, The interpretation is based on two types of a priori knowledge which are represented in a semantic network, The semantic network provides an efficient representation for reasoning with a priori knowledge and interpretation of results, An interpretation system for maps based on the semantic network is described. In this system a top-down control mechanism is integrated with a bottom-up object recognition strategy, The interpretation system has been tested on pubic utility maps, and the results are presented and evaluated. (C) 1996 Academic Press, Inc.