Querying UML Using Sesame

Abstract

The vision of next generation web is semantic web where things are deciphered not only by their syntax but also by the meaning associated with them. For this to be successful various applications all over the world should be able to communicate with each other. RDF is one such means of communication, which is a computer-readable language and used to simplify communication between various applications. To ensure such communication a technology is needed, which can easily support the semantic, web concepts and implementations. One such language, which is widely adopted all over the world and in use currently, is UML. Unified Modeling Language (UML) has been widely adopted by the software engineering community and its scope is broadening to include more diverse modeling tasks. It is a framework for describing a set of models that capture the functional and structural semantics of any complex information system. On the other hand, RDF (Resource Description Framework) is a framework for describing resources on the web, which provides a model for data, and syntax so that independent parties can exchange and use it. RDF is a language, which can be used for inference by various applications on the web. This report puts forward using of the UML as a language for modeling resources in semantic web .The goal of this work is to make UML "RDF-compatible". This allows mixing and extending UML models and the language elements of UML itself on the Web in an open manner. Further, it explains the conversion of UML models into their respective RDFs and then querying those RDF to get the desired information. This makes easier to use the UML models of existing applications to be used for querying RDFs rather than making new RDFs of each application. In this report UML is used as a base, which is further, converted into in RDF. Sesame server is used for querying the RDFs obtained.