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DATA-DRIVEN COMPOSITION FOR SERVICE-ORIENTED
SITUATIONAL WEB APPLICATIONS
ABSTRACT
The convergence of Services Computing and Web 2.0 gains a large space of
opportunities to compose “ situational” web applications from web-delivered services. However,
the large number of services and the complexity of composition constraints make manual
composition difficult to application developers, who might be non-professional programmers or
even end-users. This paper presents a systematic data-driven approach to assisting situational
application development. We first propose a technique 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 simple queries, without having to know underlying
technical details. A planning technique then exploits composition solutions which can constitute
the desired goals, even with some potential new interesting composition opportunities. A
browser-based tool facilitates visual and iterative refinement of composition solutions, to finally
come up with the satisfying outputs. A series of experiments demonstrate the efficiency and
effectiveness of our approach.

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  • 1. DATA-DRIVEN COMPOSITION FOR SERVICE-ORIENTED SITUATIONAL WEB APPLICATIONS ABSTRACT The convergence of Services Computing and Web 2.0 gains a large space of opportunities to compose “ situational” web applications from web-delivered services. However, the large number of services and the complexity of composition constraints make manual composition difficult to application developers, who might be non-professional programmers or even end-users. This paper presents a systematic data-driven approach to assisting situational application development. We first propose a technique 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 simple queries, without having to know underlying technical details. A planning technique then exploits composition solutions which can constitute the desired goals, even with some potential new interesting composition opportunities. A browser-based tool facilitates visual and iterative refinement of composition solutions, to finally come up with the satisfying outputs. A series of experiments demonstrate the efficiency and effectiveness of our approach.