This paper addresses conceptual modeling and automatic code generation for search engine integration with data intensive Web applications. We have analyzed the similarities (and differences) between IR and database systems to extend an existing domain specific language for data-driven Web applications. The extended Web modeling language specifies the search engine's index schemas based on the data schema of the Web application and uniquely designs the interaction between the database, the Web application, the search engine and users. We also provide an implementation of a CASE tool extension for visual modeling and code generation. Experimentation of the proposed approach has been successfully applied in the context of the COOPER project.@en

Search engine-based features are a basic interaction mean for users to find information inside a Web-based Learning Management Systems (LMS); nonetheless, traditional solutions lack in mechanisms for access rights management for data contained in search engines' in- dexes. This paper explores the integration of a Role Based Access Control (RBAC) mechanism for the interaction with a search engine in a Web- based LMS. We first outline a reference conceptual model for the design of Web-based LMSs exploiting RBAC by means of WebML, a visual modeling language for the high-level specification of data-intensive Web applications. Then, we propose a model-driven approach for the definition of a RBAC-driven interaction between users and search engines, extending WebML with new modeling primitives and outlining significative modeling patterns for the specification of the visibility and action access control levels.@en