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Data-Driven Composition for Service-Oriented Situational Applications
PrePrint
ISSN: 1939-1374
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.
Index Terms:
data-driven,Situational applications,service composition
Citation:
Gang Huang, Hong Mei, Yun Ma, Junfeng Zhao, "Data-Driven Composition for Service-Oriented Situational Applications," IEEE Transactions on Services Computing, 27 Feb. 2014. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TSC.2014.2304729>
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