Generating adaptive hypermedia with Golog and conceptual graphs

We present an adaptive hypermedia architecture based on Golog and conceptual graphs. We propose a conceptual graph model for the description of the hypermedia structure and the use of Golog, a logic programming language, for the generation of the personalized hypermedia. This approach has been validated by a prototype and two examples based on different domains.