Abstract
This paper presents an approach to increasing the adaptability and flexibility of service-oriented applications. The focuses are on the modeling of user context information and its uses for enabling personalized service selection, composition and activation. The resulting models and mechanisms are an essential part of the novel language VINCA, which is targeted at facilitating service composition on business level in an intuitive and just-in-time manner.
The research work is supported by the National Natural Science Foundation of China under Grant No. 60173018, the Key Scientific and Technological Program for the Tenth Five-Year Plan of China under Grant No. 2001BA904B07 and German Ministry of Research and Education under Grant No. 01AK055.
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Liu, H., Han, Y., Li, G., Zhang, C. (2004). Achieving Context Sensitivity of Service-Oriented Applications with the Business-End Programming Language VINCA. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004. GCC 2004. Lecture Notes in Computer Science, vol 3251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30208-7_18
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DOI: https://doi.org/10.1007/978-3-540-30208-7_18
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