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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiangbing Zhou Wenquan Wu |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci., Aba Teachers' Coll., Pixian (Xiangbing Zhou) || Software Key Lab. of Sichuan, Sichuan Normal Univ., Chengdu (Wenquan Wu) |
| Abstract | In order to solve problems of SOA service modeling, we proposed a method of SOA service modeling based on turing machine, and apply SCA and SDO to implement. Firstly, according to characteristic of SOA, to define some terms of turing machine and build publish/subscribe mechanism of SOA service modeling. Which apply ontology to describe service recognition and apply rough set to sort services (ontology), thus can obtain different event agency as demand, and design dependent and matching degree model among event, adopt neural network genetic algorithm to optimize them. Which provide condition for service modeling based on turing machine. Finally, application showed what is better than tradition in a large scale e-business system (LSEBBS), make SOA service modeling and development framework are more definiteness. |
| Starting Page | 225 |
| Ending Page | 230 |
| File Size | 650265 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769534978 |
| DOI | 10.1109/IITA.2008.356 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Service oriented architecture SOA service modelling network genetic algorithm Ontologies Information technology Machine intelligence Genetic algorithms Turing Machine Turing machines Web services Publish-Subscribe mechanism Neural networks LSEBBS Large-scale systems |
| Content Type | Text |
| Resource Type | Article |
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