Graph database visualization by node and edge type

    公开(公告)号:US11093553B2

    公开(公告)日:2021-08-17

    申请号:US14973047

    申请日:2015-12-17

    Abstract: Embodiments provide an overview visualization of graph data by rendering a graph's structure based upon different node/edge types, rather than upon a total number of nodes and/or edges. These node/edge types are recognized based upon associated metadata. The small number of different node/edge types of a typical graph reduces components for representation in the overview, simplifying that visualization and facilitating user interaction. A user can switch between the graph overview, and a different view affording node-level details. In analysis and/or querying, switching between the overview and the detailed visualization can afford natural and intuitive control over data granularity. For example the overview visualization of graph data may allow a user to initially filter on particular node types, with the subsequent node-level view permitting exploration of finer details while maintaining the overall context of the original graph. Embodiments may transform graph query results into a tables readily consumed by relational-type databases.

    Graph Database Visualization by Node and Edge Type

    公开(公告)号:US20170177744A1

    公开(公告)日:2017-06-22

    申请号:US14973047

    申请日:2015-12-17

    CPC classification number: G06F16/904 G06F16/26 G06F16/9024

    Abstract: Embodiments provide an overview visualization of graph data by rendering a graph's structure based upon different node/edge types, rather than upon a total number of nodes and/or edges. These node/edge types are recognized based upon associated metadata. The small number of different node/edge types of a typical graph reduces components for representation in the overview, simplifying that visualization and facilitating user interaction. A user can switch between the graph overview, and a different view affording node-level details. In analysis and/or querying, switching between the overview and the detailed visualization can afford natural and intuitive control over data granularity. For example the overview visualization of graph data may allow a user to initially filter on particular node types, with the subsequent node-level view permitting exploration of finer details while maintaining the overall context of the original graph. Embodiments may transform graph query results into a tables readily consumed by relational-type databases.

    Graph Database Querying and Visualization
    3.
    发明申请

    公开(公告)号:US20170177681A1

    公开(公告)日:2017-06-22

    申请号:US14973113

    申请日:2015-12-17

    CPC classification number: G06F17/30958 G06F17/30572

    Abstract: Embodiments provide for querying and visualization of query results of graph data. An engine processes graph data to create metadata (e.g., in JSON format) identifying at least different node types and edge types that are present in a graph database. An overview visualization simplifies presentation of graph data by depicting only various different node types and graph types. The overview visualization may form the basis for formulating queries including the metadata, which are then promulgated to the graph database. Returned query results may be visualized as an overview or on a detailed node level, promoting insight and formulation of additional queries including node/edge type metadata. The engine may convert graph data query results into tabular form for consumption by relational database analytical tools. According to particular embodiments, an engine of an in-memory database may be particularly suited to perform graph data visualization, querying, and/or tabular conversion tasks.

    Graph database querying and visualization

    公开(公告)号:US10152560B2

    公开(公告)日:2018-12-11

    申请号:US14973113

    申请日:2015-12-17

    Abstract: Embodiments provide for querying and visualization of query results of graph data. An engine processes graph data to create metadata (e.g., in JSON format) identifying at least different node types and edge types that are present in a graph database. An overview visualization simplifies presentation of graph data by depicting only various different node types and graph types. The overview visualization may form the basis for formulating queries including the metadata, which are then promulgated to the graph database. Returned query results may be visualized as an overview or on a detailed node level, promoting insight and formulation of additional queries including node/edge type metadata. The engine may convert graph data query results into tabular form for consumption by relational database analytical tools. According to particular embodiments, an engine of an in-memory database may be particularly suited to perform graph data visualization, querying, and/or tabular conversion tasks.

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