A Semantical Reasoning Framework for eGovernment of the French Social Welfare System

摘要

eGovernment and the French social welfare system. The french social welfare system is managed by national institutes. They are in charge of managing contributions from active people. These contributions are subsequently used to provide settlements to retired people. Nowadays there are around 200 institutes in charge of 27 million working people and 13 million retired people. The IRCEM group is one of the major institutes of the French national welfare system which manages family household service professions: 10% of French citizens (around 6 million) are directly concerned by IRCEM activities. The IRCEM group has an information and communication department that runs the group's Information System (IS). The priorities of this department are: service quality (particulary eServices) and efficient data sharing with its partners. In this context, we are investigating semantical technologies with the aim of improving the quality of provided services. For 2 years the number of eGovernment services in France is increasing thanks to a governmental agency called ADAE (now DOME). Through the ADELE project, the French government promotes IS development in order to modernize French administration functioning, to help administrations identify supply and demand in the area of eGovernment, and to provide technical guidelines to enhance administration IS interoperability. Technical guidelines of the ADELE project do not take into consideration semantical web technologies such as RDF (G. Klyne 2004) or OWL (Dean & Schreiber 2004). The IRCEM group and LIRMM laboratory are working together to come up with semantical solutions adapted to IRCEM's needs. Our first work was to analyse the eGovernment problems of the IRCEM group. This led us to study the context of development of French electronic administration projects. Based on these observations, we present the framework that we are currently developing to take into account semantical needs of the IRCEM group in this context.