Developing Semantic Rich Internet Applications with the Sm4RIA Extension for OIDE

Abstract

Abstract. This paper introduces the S m 4RIA Extension for OIDE, which implements the S m 4RIA approach in OIDE (OOH4RIA Integrated Development Environment). The application, based on the Eclipse framework, supports the design of the S m 4RIA models as well as the model-to-model and model-to-text transformation processes that facilitate the generation of Semantic Rich Internet Applications, i.e., RIA applications capable of sharing data as Linked data and consuming external data from other sources in the same manner. Moreover, the application implements mechanisms for the creation of RIA interfaces from ontologies and the automatic generation of administration interfaces for a previously design application. IntroductionThe development of Rich Internet Applications (RIAs) has lead to the improvement of the user interfaces in Web applications increasing the interoperability of their components by means of an event-driven paradigm, and providing an appearance and user experience similar to a desktop interface. Nevertheless, due to technological issues, RIAs act as black boxes that show their contents in a user-friendly manner but complicate the access to the data to some types of Web clients, which require accessibility, such as, the search engines. This drawback is shared both by browser-oriented RIAs, whose data is visualized according to a list of events triggered by users, and plugin-oriented RIAs, which, in addition to being event-driven, are implemented as binary objects whose information can be only visualized using a plug-in specific for each technology and browser. In this context, the S m 4RIA approach (Semantic Models for RIA) [1] introduces a new model-driven methodology, extending OOH4RIA, for the development of Semantic Rich Internet Applications (SRIAs), i.e., a new type of RIA that facilitate the interconnection to external RIA systems and data sources by means of techniques and technologies from the Semantic Web. Specifically, these applications are capable of both sharing their internal data as Linked Data (http://linkeddata.org/) and exploiting data shared by other nodes of the Linked Data cloud.