Abstract

-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.

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The purpose of this paper is to demonstrate the advantages that may be obtained through the use of simulatian tools in the design of a production workshop and more specifically, in validating a structure for production and a logic for control in the field of chemical processes. Such simulation concerns a type of production which is totally different from manufacturing type, as the former are continuous processes that can be rendered discrete. After a rapid presentation of the various theoretical approaches to modeling and simulation tools that may be used in this field, we will describe the system to be designed and its characteristics. Then we will go on to the approach to modeling we have retained and the simulation carried out in order to study the system dynamically. Finally, we will present the results we reached and we will draw some conclusions on the advantages and the limits of the study made. This study, which aims at designing and evaluating the performances of a production unit in an international class plant specializ ing in the production of liquid chemical products, was carried out with the help of the SIMAN-CINEMA (3.5) simulation generator and decision assistance tool widely used in the design and set up of manufacturing type production systems.

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