Data Fusion for the Management of Multimedia Documents

Multimedia documents are increasingly numerous. Their efficient management requires tools to provide services that measure up to users' expectations, based on the contents of these voluminous document databases. This implies a number of challenges. Although we can extract highly symbolic concepts from texts, a wide semantic gap appears when processing images and sound. Thus, we propose using data fusion to capture the semantic field of the elements extracted from these media. On the other hand, if creating ontology makes it possible to manage the concept of "trade" in texts, additional data can be exploited from document contents. In the first instance, we suggest bringing together concepts and words through data fusion.