Toward Data-driven Programming for RESTful Linked Data

Applications are increasingly focused on the use and manipulation of data resources distributed on the Web. Consequently REST gains popularity with its resource-centric interaction architecture and exibility enabled by hypermedia controls, i.e., links between resources. The natural extension of Linked Data with RESTful manipulation possibilities for resources can bring advantages that can be leveraged to avoid a manual ad-hoc development of mashups. We propose a lightweight declarative rule language with state transition systems as formal grounding that enables the development of data-driven applications build upon the RESTful manipulation of Linked Data resources. We address the problem of developing a scaleable programming framework for Linked Data resources, that retains the advantages of the loose coupling fostered by REST.