Auto-adaptive illustration through conceptual evocation
Michel Crampes · 1997
When engaged in reading, a reader is permanently building up associations of ideas either freely, or guided by the evocative power of the text and his imagination.This paper finds its inspiration in this natnral mechanism to consider a formal model of Conceptual Evocation that could be used for automatic adaptative ilhrstmtion or, more generally, dynamic and autoadaptative hypemavigation in hypermedia applications.We borrow from Sowa's Conceptual Graphs a theoretical l?amework for node conceptual modelling.In search of more creative mechanisms, we introduce Conceptnal State Vectors to tag the nodes, and a Conceptual Evocative Engine to dynamically create Conceptual Evocative Links between nodes.Finally a mock-up is presented that shows the operationnahty of all the concepts in the context of a TV program composition.