Xuanzhe Liu , X. Liu is with the Key Laboratory of High Confidence Software Technologies, Peking University, Ministry of Education, Beijing 100871, China, and also with the Institute of Software, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China (e-mail: email@example.com).
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.
data-driven, Situational applications, service composition,
Xuanzhe Liu, Yun Ma, Gang Huang, Junfeng Zhao, Hong Mei, "Data-Driven Composition for Service-Oriented Situational Applications", IEEE Transactions on Services Computing, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TSC.2014.2304729