Keynote 1: Extending Persistent Meta-Modeling Systems to Handle Behavioral Semantics

Summary form only given. The increasing number of information systems modelling formalisms raises several issues related to data and models integration or exchange. To address these problems, several meta-modelling systems have been proposed. However, few of them use a database as a back-end repository in order to offer a persistent solution for addressing over sized models. The aim of this talk is to show how the benefits of classical modelling systems, typically their capability to express behavioural semantics of models elements combined with the advantages of databases, i.e. their scalability and querying capabilities make it possible to support behavioural descriptions within PMMS. The proposed approach focuses on the capability to dynamically introduce new operators that could be implemented with an external program stored outside the database, or with a web service, etc. As a consequence of this extension, model transformations in model-based repositories, computation of derived concepts, web services triggering from relational databases, information exchange and data integration become activities supported in a persistent context.