Paper
30 October 2009 Three layered framework for automatic service composition
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74984R (2009) https://doi.org/10.1117/12.833137
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
For automatic service composition, a planning based framework MOCIS is proposed. Planning is based on two major techniques, service reasoning and constraint satisfaction. Constraint satisfaction can be divided into quality constraint satisfaction and quantity constraint satisfaction. Contrary to traditional methods realizing upon techniques by interleaving activity, message and provider, the novelty of the framework is dividing these concerns into three layers, with activity layer majoring service reasoning, message layer for quality constraint and provider layer for quantity constraint. The layered architecture makes automatic web service composition possible for activity tree that abstract BPEL list and concrete BPEL list are achieved automatically with each layer, and users can selection proper abstract BPEL or BPEL to satisfy their request. And E-traveling composition cases have been tested, demonstrating that complex service can be achieved through three layers compositing automatically.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinqiong Liu, Ping Xia, and Junli Wan "Three layered framework for automatic service composition", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74984R (30 October 2009); https://doi.org/10.1117/12.833137
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KEYWORDS
Web services

Logic

Composites

Evolutionary algorithms

Silicon

Artificial intelligence

Chemical species

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