Non-Backtrace Backward Chaining Dynamic Composition of Web Services Based on Mediator

Liu Jiamao, Gu Ning, and Shi Baile

Journal of Computer Research and Development > 2005 > 42(7): 1153-1158.

Liu Jiamao, Gu Ning, and Shi Baile. Non-Backtrace Backward Chaining Dynamic Composition of Web Services Based on Mediator[J]. Journal of Computer Research and Development, 2005, 42(7): 1153-1158.

Citation:

Liu Jiamao, Gu Ning, and Shi Baile. Non-Backtrace Backward Chaining Dynamic Composition of Web Services Based on Mediator[J]. Journal of Computer Research and Development, 2005, 42(7): 1153-1158.

Citation:

Liu Jiamao, Gu Ning, and Shi Baile. Non-Backtrace Backward Chaining Dynamic Composition of Web Services Based on Mediator[J]. Journal of Computer Research and Development, 2005, 42(7): 1153-1158.

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Non-Backtrace Backward Chaining Dynamic Composition of Web Services Based on Mediator

Liu Jiamao, Gu Ning, and Shi Baile

(Department of Computing and Information Technology, Fudan University, Shanghai 200433)

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Published Date: July 14, 2005

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Abstract

Abstract

Proposed in this paper is a non-backtrace backward chaining Web services dynamic composition framework based on mediator. Under this framework, a rule modeling method in composition and a parameter-level ontology for eliminating the composition semantic conflict are provided, and then a non-backtrace backward chaining algorithm is used to compose Web services. This composition approach avoids the optimization of composition plan, and its parameter-level ontology is more efficient in handling the semantic problems in composition than the attribute-level ontology in forward chaining composition approach and is suitable for composing many times to the same user inputs and the same Web services in order to generate the same outputs or different outputs.
- mediator,
- forward chaining,
- backward chaining,
- ontology

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[1]	Li Dongmei, Lin Youfang, Huang Houkuan, Tian Xuan. Measuring Ontology Inconsistency Based on Dempster-Shafer Theory[J]. Journal of Computer Research and Development, 2013, 50(3): 559-567.
[2]	Wang Ying, Zuo Xianglin, Zuo Wanli, Wang Xin. Interface Integration of Deep Web Based on Ontology[J]. Journal of Computer Research and Development, 2012, 49(11): 2383-2394.
[3]	Zhou Liping, Huang Houkuan, Qi Guilin, Qu Youli, Ji Qiu. An Algorithm for Calculating Minimal Unsatisfiability-Preserving Subsets of Ontology in DL-Lite[J]. Journal of Computer Research and Development, 2011, 48(12): 2334-2342.
[4]	Zhang Zhiqiang, Song Weitao, Xie Xiaoqin. An Efficient Ontology Ranking Algorithm—MIDSRank[J]. Journal of Computer Research and Development, 2011, 48(6): 1077-1088.
[5]	Zheng Junhong, He Lili, and Ye Xiuzi. Ontology-Based Knowledge Representation for Computer-Aided Fixture Design[J]. Journal of Computer Research and Development, 2010, 47(7): 1276-1285.
[6]	Xing Jun, Han Min. An Ontology Learning Method Based on Double VSM and Fuzzy FCA[J]. Journal of Computer Research and Development, 2009, 46(3): 443-451.
[7]	Qu Yuzhong, Hu Wei, Zheng Dongdong, and Zhong Xinyu. Mapping Between Relational Database Schemas and Ontologies: The State of the Art[J]. Journal of Computer Research and Development, 2008, 45(2): 300-309.
[8]	Chen Junjie, Liu Wei. A Modeling Method of User Profile Based on Ontology[J]. Journal of Computer Research and Development, 2007, 44(7): 1151-1159.
[9]	Zhang Weiming and Song Junfeng. Study on Domain Ontology Representation, Reasoning and Integration for the Semantic Web[J]. Journal of Computer Research and Development, 2006, 43(1): 101-108.
[10]	Tao Chun, Zhang Liang, and Shi Baile. Query Processing for Ontology-Based XML Data Integration[J]. Journal of Computer Research and Development, 2005, 42(3).