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    • 6. 发明申请
    • Process and Framework For Facilitating Data Sharing Using a Distributed Hypergraph
    • 使用分布式Hypergraph来促进数据共享的过程和框架
    • US20150347480A1
    • 2015-12-03
    • US14724921
    • 2015-05-29
    • Georgetown University
    • J. Cory Smart
    • G06F17/30
    • G06F17/30333G06F17/30324G06F17/30327G06F17/30572
    • A knowledge model “overlay” for organizing and analyzing large, dynamic data volumes is implemented as a hypergraph that manifests as a result of a distributed theory-driven data source transformation process. This process maps exponentially growing data into an asymptotically limited information space. Within this space, real-world entities (e.g. people, computers, cities, Earth) and their complex interdependencies (e.g. social networks, connectivity, causal relationships) are represented as attributed hypergraph elements (i.e. both hypervertices and hyperedges). Attributes are represented as state vectors affixed to any hypergraph element. Transformation of source system data into this overlay structure is accomplished with minimal data movement and replication using a universal “pointer” like mechanism that is managed in a decentralized fashion by the respective transformation components. Access to the knowledge overlay is performed via a hypergraph communication protocol encapsulated within a common hypergraph API and accompanying hypergraph toolkit.
    • 用于组织和分析大型动态数据卷的知识模型“覆盖”被实现为作为分布式理论驱动的数据源转换过程的结果而显示的超图。 这个过程将指数增长的数据映射到渐近有限的信息空间。 在这个空间中,真实世界的实体(例如人,电脑,城市,地球)及其复杂的相互依赖关系(例如,社交网络,连接性,因果关系)被表示为归因超图元素(即,过度翻译和超视图)。 属性表示为附加到任何超图元素的状态向量。 将源系统数据转换到该覆盖结构中是通过使用通过相应变换组件以分散方式管理的通用“指针”机制的最小数据移动和复制来实现的。 通过封装在公共超图API和伴随的超图工具包中的超图通信协议来执行对知识覆盖的访问。