AUTOMATED RECOGNITION OF PROCESS MODELING SEMANTICS IN FLOW DIAGRAMS
    8.
    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

    IPC分类号: G06T1/20

    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。

    Automated recognition of process modeling semantics in flow diagrams
    9.
    发明授权
    Automated recognition of process modeling semantics in flow diagrams 有权
    流程图中过程建模语义的自动识别

    公开(公告)号:US09087236B2

    公开(公告)日:2015-07-21

    申请号:US12881120

    申请日:2010-09-13

    IPC分类号: G06F9/44 G06K9/00

    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。

    Generating formatted documents
    10.
    发明授权
    Generating formatted documents 有权
    生成格式化的文档

    公开(公告)号:US08176412B2

    公开(公告)日:2012-05-08

    申请号:US12547169

    申请日:2009-08-25

    IPC分类号: G06F17/00

    摘要: Techniques for generating one or more formatted documents are provided. The techniques include receiving content from one or more data sources, enabling specification of one or more formatting elements to be used in one or more generated formatted documents, enabling specification of a structure to be used in the one or more generated formatted documents, enabling specification of a style of the one or more formatting elements to be used in the one or more generated formatted documents, and generating one or more formatted documents based on the specifications.

    摘要翻译: 提供了用于生成一个或多个格式化文档的技术。 这些技术包括从一个或多个数据源接收内容,使得能够指定要在一个或多个生成的格式化文档中使用的一个或多个格式化元素,使得能够指定要在一个或多个生成的格式化文档中使用的结构, 在一个或多个生成的格式化文档中使用的一个或多个格式化元素的样式,以及基于规格生成一个或多个格式化文档。