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| 从WSBPEL程序中学习Web服务的不确定动作模型 | |
| 引用本文： | 饶东宁,蒋志华,姜云飞,吴康恒.从WSBPEL程序中学习Web服务的不确定动作模型[J].计算机研究与发展,2010,47(3). |
| 作者姓名： | 饶东宁 蒋志华 姜云飞 吴康恒 |
| 作者单位： | 1. 广东工业大学计算机学院,广州,510090;中山大学信息科学与技术学院软件研究所,广州,510275 2. 暨南大学信息科学与技术学院计算机科学与技术系,广州,510632 3. 中山大学信息科学与技术学院软件研究所,广州,510275 |
| 基金项目： | 国家自然科学基金项目(60773201);;广东工业大学博士启动基金(093032) |
| 摘 要： | 智能规划是一种比较有前途的Web服务组合(WSC)方法.用规划进行WSC需要Web服务(WS)的动作模型,而让工程师来写它却很困难.考虑到现存WSC解决方案多用Web服务业务流程语言(WSBPEL)手工编写,可从现存方案中提取动作模型.由于WS本身有不确定性,且现存方案中蕴含对WS的语义要求,所以学习的应是体现流程语义且包含条件效果的不确定动作模型.为此,先将WSBPEL程序转成保留流程语义的标签转换系统(LTS);然后将动作模型学习技术扩展到包括条件效果的不确定规划(NDP),并从LTS中学习动作模型.实现了ARMS-WS系统,它可从WSBPEL程序中学习WS的不确定动作模型. |
| 关 键 词： | 人工智能 人工智能规划 动作模型 不确定规划 Web服务组合 |
Learning Non-Deterministic Action Models for Web Services from WSBPEL Programs |
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| Rao Dongning,Jiang Zhihua,Jiang Yunfei,Wu Kangheng.Learning Non-Deterministic Action Models for Web Services from WSBPEL Programs[J].Journal of Computer Research and Development,2010,47(3). | |
| Authors: | Rao Dongning Jiang Zhihua Jiang Yunfei Wu Kangheng |
| Affiliation: | Faculty of Computer;Guangdong University of Technology;Guangzhou 510090;Institute of Software;School of Information Science and Technology;Sun Yat-sen University;Guangzhou 510275;Department of Computer Science;Jinan University;Guangzhou 510632 |
| Abstract: | AI planning is a promising method for Web service composition (WSC). But it encounters knowledge engineering bottleneck for there is no predefined action models for Web services (WS) in planning language under most circumstances. For example, using planning to find WSC solutions needs action models for WS, which is difficult for engineers to write. Considering that most existing WSC solutions are manually written in business process language for Web services (WSBPEL), it is preferred to learn action models ... |
| Keywords: | AI AI planning action model non-deterministic planning Web service composition |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |