The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - Jan.-Feb. (2015 vol.8)
pp: 2-16
Xuanzhe Liu , Key Laboratory of High Confidence Software Technologies, Ministry of Education,
Yun Ma , Key Laboratory of High Confidence Software Technologies, Ministry of Education,
Gang Huang , Key Laboratory of High Confidence Software Technologies, Ministry of Education,
Junfeng Zhao , Key Laboratory of High Confidence Software Technologies, Ministry of Education,
Hong Mei , Key Laboratory of High Confidence Software Technologies, Ministry of Education,
Yunxin Liu , Microsoft Research Asia, Beijing, China
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.
INDEX TERMS
Semantics, Google, Planning, Mashups, Clustering algorithms,data-driven, Situational applications, service composition
CITATION
Xuanzhe Liu, Yun Ma, Gang Huang, Junfeng Zhao, Hong Mei, Yunxin Liu, "Data-Driven Composition for Service-Oriented Situational Web Applications", IEEE Transactions on Services Computing, vol.8, no. 1, pp. 2-16, Jan.-Feb. 2015, doi:10.1109/TSC.2014.2304729
65 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool