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    INTERACTIVE BLUEPRINTING FOR PACKAGED APPLICATIONS
    8.
    发明申请
    INTERACTIVE BLUEPRINTING FOR PACKAGED APPLICATIONS 有权
    用于包装应用的交互式BLUEPRINTING

    公开(公告)号：US20120016653A1

    公开(公告)日：2012-01-19

    申请号：US12835872

    申请日：2010-07-14

    申请人： Manisha D. Bhandar ,  Richard T. Goodwin ,  Anca A. Ivan ,  Juhnyoung Lee ,  Pietro Mazzoleni ,  Rakesh Mohan ,  Aubrey J. Rembert ,  Biplav Srivastava

    发明人： Manisha D. Bhandar ,  Richard T. Goodwin ,  Anca A. Ivan ,  Juhnyoung Lee ,  Pietro Mazzoleni ,  Rakesh Mohan ,  Aubrey J. Rembert ,  Biplav Srivastava

    IPC分类号： G06F9/44

    CPC分类号： G06F8/10

    摘要： An interactive design of process model for packaged application software installation and configuration generates a process model from a natural language description of software installation or configuration related operation. A data structure representing one or more work products related to the process model is identified, and one or more elements of the data structure are identified that are related to one or more sub-processes of the process model. Input information associated with said one or more sub-processes is captured and stored. The input information is linked with the one or more elements of the data structure related to said one or more sub-processes. The one or more sub-processes in the process model may be also demonstrated through a simulation.

    摘要翻译： 用于打包应用软件安装和配置的过程模型的交互式设计根据软件安装或配置相关操作的自然语言描述生成过程模型。 识别表示与过程模型相关的一个或多个工作产品的数据结构，并且识别与过程模型的一个或多个子过程相关的数据结构的一个或多个元素。 捕获并存储与所述一个或多个子处理相关联的输入信息。 输入信息与与所述一个或多个子过程相关的数据结构的一个或多个元素链接。 过程模型中的一个或多个子过程也可以通过模拟来证明。

    Interactive blueprinting for packaged applications
    9.
    发明授权
    Interactive blueprinting for packaged applications 有权
    打包应用程序的交互式蓝图

    公开(公告)号：US08612931B2

    公开(公告)日：2013-12-17

    申请号：US12835872

    申请日：2010-07-14

    申请人： Manisha D. Bhandar ,  Richard T. Goodwin ,  Anca A. Ivan ,  Juhnyoung Lee ,  Pietro Mazzoleni ,  Rakesh Mohan ,  Aubrey J. Rembert ,  Biplav Srivastava

    发明人： Manisha D. Bhandar ,  Richard T. Goodwin ,  Anca A. Ivan ,  Juhnyoung Lee ,  Pietro Mazzoleni ,  Rakesh Mohan ,  Aubrey J. Rembert ,  Biplav Srivastava

    IPC分类号： G06F9/44

    CPC分类号： G06F8/10

    摘要： An interactive design of process model for packaged application software installation and configuration generates a process model from a natural language description of software installation or configuration related operation. A data structure representing one or more work products related to the process model is identified, and one or more elements of the data structure are identified that are related to one or more sub-processes of the process model. Input information associated with said one or more sub-processes is captured and stored. The input information is linked with the one or more elements of the data structure related to said one or more sub-processes. The one or more sub-processes in the process model may be also demonstrated through a simulation.

    摘要翻译： 用于打包应用软件安装和配置的过程模型的交互式设计根据软件安装或配置相关操作的自然语言描述生成过程模型。 识别表示与过程模型相关的一个或多个工作产品的数据结构，并且识别与过程模型的一个或多个子过程相关的数据结构的一个或多个元素。 捕获并存储与所述一个或多个子处理相关联的输入信息。 输入信息与与所述一个或多个子过程相关的数据结构的一个或多个元素链接。 过程模型中的一个或多个子过程也可以通过模拟来证明。

    AUTOMATED RECOGNITION OF PROCESS MODELING SEMANTICS IN FLOW DIAGRAMS
    10.
    发明申请
    AUTOMATED RECOGNITION OF PROCESS MODELING SEMANTICS IN FLOW DIAGRAMS 有权
    流程图自动识别过程建模语言

    公开(公告)号：US20120062574A1

    公开(公告)日：2012-03-15

    申请号：US12881120

    申请日：2010-09-13

    申请人： Pankaj Dhoolia ,  Juhnyoung Lee ,  Debdoot Mukherjee ,  Aubrey J. Rembert

    发明人： Pankaj Dhoolia ,  Juhnyoung Lee ,  Debdoot Mukherjee ,  Aubrey J. Rembert

    IPC分类号： G06T1/20

    CPC分类号： G06K9/00476 ,  G06F8/10 ,  G06F8/20 ,  G06F8/30

    摘要： An example embodiment disclosed is a system for automated model extraction of documents containing flow diagrams. An extractor is configured to extract from the flow diagrams flow graphs. The extractor further extracts nodes and edges, and relational, geometric and textual features for the extracted nodes and edges. A classifier is configured to recognize process semantics based on the extracted nodes and edges, and the relational, geometric and textual features of the extracted nodes and edges. A process modeling language code is generated based on the recognized process semantics. Rules to recognize patterns in process diagrams may be determined using supervised learning and/or unsupervised learning. During supervised learning, an expert labels example flow diagrams so that a classifier can derive the classification rules. During unsupervised learning flow diagrams are clustered based on relational, geometric and textual features of nodes and edges.

    摘要翻译： 所公开的示例性实施例是用于自动模型提取包含流程图的文档的系统。 提取器被配置为从流程图流程图中提取。 提取器进一步提取节点和边缘，以及提取的节点和边缘的关系，几何和文本特征。 分类器被配置为基于提取的节点和边缘以及提取的节点和边缘的关系，几何和文本特征来识别进程语义。 基于识别的流程语义生成流程建模语言代码。 可以使用监督学习和/或无监督学习来确定在过程图中识别模式的规则。 在监督学习期间，专家标签示例流程图，使得分类器可以导出分类规则。 在无监督的学习流程图中，基于节点和边缘的关系，几何和文本特征进行聚类。