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公开(公告)号：US20060195407A1
公开(公告)日：2006-08-31
申请号：US11414000
申请日：2006-04-28
IPC分类号： G06F15/18
CPC分类号： G06N5/02 , Y10S707/99942
摘要： A computer-implemented network structure includes a semantic network machine comprised of nodes containing informational contents and links containing relational contents. Relational contents describe the relationship between linked nodes. Some of the nodes are semantic Janus units. Based on time-variable states of each semantic Janus unit, the semantic Janus units perform operations on nodes and links. The operations are focused on selected portions of the semantic network machine such that each semantic Janus unit need not deal with all possible informational and relational contents within the semantic network machine. The computational resources of the computer network are thereby efficiently managed, and artificial intelligence tasks such as inferential retrieval are performed quicker. The amount of data that is processed is substantially reduced by focusing on bundled information. The semantic network is used for pattern recognition, for example, to recognize blood vessels in a medical image or streets on a digital satellite image.
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公开(公告)号：US07523079B2
公开(公告)日：2009-04-21
申请号：US11414000
申请日：2006-04-28
IPC分类号： G06F15/18
CPC分类号： G06N5/02 , Y10S707/99942
摘要： A computer-implemented network structure includes a semantic network machine comprised of nodes containing informational contents and links containing relational contents. Relational contents describe the relationship between linked nodes. Some of the nodes are semantic Janus units. Based on time-variable states of each semantic Janus unit, the semantic Janus units perform operations on nodes and links. The operations are focused on selected portions of the semantic network machine such that each semantic Janus unit need not deal with all possible informational and relational contents within the semantic network machine. The computational resources of the computer network are thereby efficiently managed, and artificial intelligence tasks such as inferential retrieval are performed quicker. The amount of data that is processed is substantially reduced by focusing on bundled information. The semantic network is used for pattern recognition, for example, to recognize blood vessels in a medical image or streets on a digital satellite image.
摘要翻译： 计算机实现的网络结构包括由包含信息内容的节点和包含关系内容的链接组成的语义网络机器。 关系内容描述链接节点之间的关系。 一些节点是语义Janus单元。 基于每个语义Janus单元的时变状态，语义Janus单元对节点和链路执行操作。 这些操作集中在语义网络机器的选定部分，使得每个语义的Janus单元不需要处理语义网络机器内的所有可能的信息和关系内容。 从而有效地管理计算机网络的计算资源，更快地执行诸如推理检索的人工智能任务。 通过关注捆绑的信息，大大减少了处理的数据量。 语义网络用于模式识别，例如，识别医学图像中的血管或数字卫星图像上的街道。
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