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1.发明申请INCREMENTAL MODEL REFINEMENT AND TRANSFORMATION IN GENERATING COMMERCE APPLICATIONS USING A MODEL DRIVEN ARCHITECTURE 有权使用模型驱动架构生成商业应用程序的增量模型修改和转换公开(公告)号：US20080276229A1
公开(公告)日：2008-11-06
申请号：US11743958
申请日：2007-05-03
申请人： Jennifer L. Hawkins , Igor Ivkovic , Konstantinos Kontogiannis , Ross McKegney , Walfrey Ng , Tack Tong
发明人： Jennifer L. Hawkins , Igor Ivkovic , Konstantinos Kontogiannis , Ross McKegney , Walfrey Ng , Tack Tong
IPC分类号： G06F9/45
CPC分类号： G06F8/10 , G06F9/4494
摘要： In one embodiment of the invention, a method for profile mapped model transformation for model driven architecture (MDA) development of service provisioning applications can be provided. Them method can include mapping elements of a platform independent domain specific model to a platform specific domain specific model for a target platform with stereotypes in a uniform modeling language (UML) profile defined for the target platform. The method further can include transforming a platform independent domain specific model into a platform specific domain specific model for a target platform by applying the stereotypes of the UML profile defined for the target platform. Finally, the method can include generating shell source code for the transformed platform specific domain specific model.
摘要翻译： 在本发明的一个实施例中，可以提供用于业务提供应用的模型驱动架构（MDA）开发的简档映射模型变换的方法。 该方法可以包括将平台独立的域特定模型的元素映射到针对目标平台定义的统一建模语言（UML）概要文件中的具有定型观念的目标平台的特定于平台的特定模型。 该方法还可以包括通过应用针对目标平台定义的UML简档的原型，将平台独立的域特定模型转换为用于目标平台的平台特定领域特定模型。 最后，该方法可以包括为特定转换平台的特定模型生成shell源代码。
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公开(公告)号：US20050240732A1
公开(公告)日：2005-10-27
申请号：US11088377
申请日：2005-03-24
申请人： Darl Crick , Cyrus Mills , Konstantinos Kontogiannis , Man Tang
发明人： Darl Crick , Cyrus Mills , Konstantinos Kontogiannis , Man Tang
CPC分类号： G06F17/30902
摘要： According to the present invention, there is provided a computer system, method and apparatus for making intelligent recommendations for dynamic content caching. In one embodiment of the present invention there is provided a computer implemented method for generating intelligent caching recommendations related to dynamic web content for use on a caching system. The method comprising extracting data associated with the dynamic content of interest in accordance with a predetermined data model. Next analyzing the extracted data in accordance with a plurality of certainty factors and a rule based expert system. Completing the analysis and generating a set of caching recommendations from the analyzed data suitable for use by the caching system. Implementing the recommendations in the caching system are repeated iteratively, as in a loop, automatically generating intelligent caching recommendations related to the dynamic web content for use on the caching system.
摘要翻译： 根据本发明，提供了一种用于动态内容缓存的智能建议的计算机系统，方法和装置。 在本发明的一个实施例中，提供了一种用于生成与在缓存系统上使用的动态网页内容相关的智能缓存建议的计算机实现的方法。 该方法包括根据预定数据模型提取与感兴趣的动态内容相关联的数据。 接下来根据多个确定性因子和基于规则的专家系统分析提取的数据。 完成分析，并从适合缓存系统使用的分析数据生成一组缓存建议。 迭代地重复实现缓存系统中的建议，如循环一样，自动生成与动态Web内容相关的智能缓存建议，用于缓存系统。
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3.发明授权Incremental model refinement and transformation in generating commerce applications using a model driven architecture 有权使用模型驱动架构生成商务应用程序的增量模型细化和转换公开(公告)号：US08418125B2
公开(公告)日：2013-04-09
申请号：US11743958
申请日：2007-05-03
申请人： Jennifer L. Hawkins , Igor Ivkovic , Konstantinos Kontogiannis , Ross McKegney , Walfrey Ng , Tack Tong
发明人： Jennifer L. Hawkins , Igor Ivkovic , Konstantinos Kontogiannis , Ross McKegney , Walfrey Ng , Tack Tong
CPC分类号： G06F8/10 , G06F9/4494
摘要： In one embodiment of the invention, a method for profile mapped model transformation for model driven architecture (MDA) development of service provisioning applications can be provided. The method can include mapping elements of a platform independent domain specific model to a platform specific domain specific model for a target platform with stereotypes in a uniform modeling language (UML) profile defined for the target platform. The method further can include transforming a platform independent domain specific model into a platform specific domain specific model for a target platform by applying the stereotypes of the UML profile defined for the target platform. Finally, the method can include generating shell source code for the transformed platform specific domain specific model.
摘要翻译： 在本发明的一个实施例中，可以提供用于业务提供应用的模型驱动架构（MDA）开发的简档映射模型变换的方法。 该方法可以包括将平台独立的域特定模型的元素映射到针对目标平台定义的统一建模语言（UML）简档中的具有定型观念的目标平台的平台特定域特定模型。 该方法还可以包括通过应用针对目标平台定义的UML简档的原型，将平台独立的域特定模型转换为用于目标平台的平台特定领域特定模型。 最后，该方法可以包括为特定转换平台的特定模型生成shell源代码。
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公开(公告)号：US07389386B2
公开(公告)日：2008-06-17
申请号：US11088377
申请日：2005-03-24
IPC分类号： G06F12/00
CPC分类号： G06F17/30902
摘要： According to the present invention, there is provided a computer system, method and apparatus for making intelligent recommendations for dynamic content caching. In one embodiment of the present invention there is provided a computer implemented method for generating intelligent caching recommendations related to dynamic web content for use on a caching system. The method comprising extracting data associated with the dynamic content of interest in accordance with a predetermined data model. Next analyzing the extracted data in accordance with a plurality of certainty factors and a rule based expert system. Completing the analysis and generating a set of caching recommendations from the analyzed data suitable for use by the caching system. Implementing the recommendations in the caching system are repeated iteratively, as in a loop, automatically generating intelligent caching recommendations related to the dynamic web content for use on the caching system.
摘要翻译： 根据本发明，提供了一种用于动态内容缓存的智能建议的计算机系统，方法和装置。 在本发明的一个实施例中，提供了一种用于生成与在缓存系统上使用的动态网页内容相关的智能缓存建议的计算机实现的方法。 该方法包括根据预定数据模型提取与感兴趣的动态内容相关联的数据。 接下来根据多个确定性因子和基于规则的专家系统分析提取的数据。 完成分析，并从适合缓存系统使用的分析数据生成一组缓存建议。 迭代地重复实现缓存系统中的建议，如循环一样，自动生成与动态Web内容相关的智能缓存建议，用于缓存系统。
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公开(公告)号：US20080147981A1
公开(公告)日：2008-06-19
申请号：US12030316
申请日：2008-02-13
IPC分类号： G06F12/00
CPC分类号： G06F16/9574
摘要： According to the present invention, there is provided a computer system, method and apparatus for making intelligent recommendations for dynamic content caching. In one embodiment of the present invention there is provided a computer implemented method for generating intelligent caching recommendations related to dynamic web content for use on a caching system. The method comprising extracting data associated with the dynamic content of interest in accordance with a predetermined data model. Next analyzing the extracted data in accordance with a plurality of certainty factors and a rule based expert system. Completing the analysis and generating a set of caching recommendations from the analyzed data suitable for use by the caching system. Implementing the recommendations in the caching system are repeated iteratively, as in a loop, automatically generating intelligent caching recommendations related to the dynamic web content for use on the caching system.
摘要翻译： 根据本发明，提供了一种用于动态内容缓存的智能建议的计算机系统，方法和装置。 在本发明的一个实施例中，提供了一种用于生成与在缓存系统上使用的动态网页内容相关的智能缓存建议的计算机实现的方法。 该方法包括根据预定数据模型提取与感兴趣的动态内容相关联的数据。 接下来根据多个确定性因子和基于规则的专家系统分析提取的数据。 完成分析，并从适合缓存系统使用的分析数据生成一组缓存建议。 迭代地重复实现缓存系统中的建议，如循环一样，自动生成与动态Web内容相关的智能缓存建议，用于缓存系统。
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