PROJECT TITLE:

Data-Driven Composition for Service-Oriented Situational Web Applications - 2015

ABSTRACT:

The convergence of Services Computing and Internet a pair of.0 gains a giant house of opportunities to compose “situational” net applications from internet-delivered services. However, the massive variety of services and therefore the complexity of composition constraints build manual composition troublesome to application developers, who would possibly be non-professional programmers or maybe end-users. This paper presents a scientific data-driven approach to aiding situational application development. We tend to 1st propose a method to extract useful information from multiple sources to abstract service capabilities with a set tags. This supports intuitive expression of user's desired composition goals by straightforward queries, while not having to know underlying technical details. A planning technique then exploits composition solutions that can constitute the required goals, even with some potential new fascinating composition opportunities. A browser-primarily based tool facilitates visual and iterative refinement of composition solutions, to finally return up with the satisfying outputs. A series of experiments demonstrate the efficiency and effectiveness of our approach.