Résolution des conflits sémantiques - Séguran, Magali
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This work deals with cooperation of Legacy Information Systems. The growth and variety of distributed information sources imply a need to exchange and/or to share information extracted from various and heterogeneous databases. Cooperation of legacy information systems requires advanced architectures able to solve conflicts coming from data heterogeneity. The project ACSIS (Agents for Cooperation of Secure Information Systems) is a solution to resolve semantic conflicts coming from databases heterogeneity taking care of scalability issues. Therefore, this solution uses Distributed Artificial…mehr

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Produktbeschreibung
This work deals with cooperation of Legacy Information Systems. The growth and variety of distributed information sources imply a need to exchange and/or to share information extracted from various and heterogeneous databases. Cooperation of legacy information systems requires advanced architectures able to solve conflicts coming from data heterogeneity. The project ACSIS (Agents for Cooperation of Secure Information Systems) is a solution to resolve semantic conflicts coming from databases heterogeneity taking care of scalability issues. Therefore, this solution uses Distributed Artificial Intelligence techniques like defined Interaction Protocols and evolutive domain ontology.
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Autorenporträt
Dr Magali Seguran holds a master degree in computer science from the University of Nice (1997) and a doctoral degree in computer science (2003) from the University of Lyon where she worked as associated researcher and lecturer. Since 2004, she is working as researcher at SAP Research.