PROJECT TITLE:

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

ABSTRACT:

The convergence of Services Computing and Web 2.0 gains a massive house of opportunities to compose “situational” web applications from net-delivered services. However, the large range of services and also the complexity of composition constraints build manual composition tough to application developers, who may be non-skilled programmers or even end-users. This paper presents a systematic knowledge-driven approach to assisting situational application development. We have a tendency to initial propose a technique to extract helpful information from multiple sources to abstract service capabilities with a group tags. This supports intuitive expression of user's desired composition goals by straightforward queries, without having to understand underlying technical details. A planning technique then exploits composition solutions that can constitute the required goals, even with some potential new attention-grabbing composition opportunities. A browser-based mostly tool facilitates visual and iterative refinement of composition solutions, to finally return up with the satisfying outputs. A series of experiments demonstrate the potency and effectiveness of our approach.