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    • 8. 发明授权
    • Cognitive memory encoding networks for fast semantic indexing storage and retrieval
    • 认知记忆编码网络,用于快速语义索引存储和检索
    • US09158847B1
    • 2015-10-13
    • US13553662
    • 2012-07-19
    • Arun Majumdar
    • Arun Majumdar
    • G06F7/00G06F17/30
    • G06F17/30864G06F17/30312G06F17/30958G06N3/02
    • The invention provides a fast approximate as well as exact hierarchical network storage and retrieval system and method for encoding and indexing graphs or networks into a data structure called the Cognitive Signature for property based, analog based or structure or sub-structure based search. The system and method produce a Cognitive Memory from a multiplicity of stored Cognitive Signatures and are ideally suited to store and index all or parts of massive data sets, linguistic graphs, protein graphs, chemical graphs, graphs of biochemical pathways, image or picture graphs as well as dynamical graphs such as traffic graphs or flows and motion picture sequences of graphs. The system and method have the advantage that properties of the Cognitive Signature of the graph can be used in correlations to the properties of the underlying data making the system ideal for semantic indexing of massive scale graph data sets.
    • 本发明提供了一种快速近似以及精确的分层网络存储和检索系统和方法,用于将图形或网络编码和索引到称为认知签名的数据结构中,用于基于属性,基于模拟或基于结构或子结构的搜索。 系统和方法从多种存储的认知签名中产生认知记忆,并且非常适合存储和索引大量数据集,语言图,蛋白质图,化学图,生物化学通路图,图像或图像图的全部或部分 以及诸如流量图或流的动态图和图的运动图像序列。 该系统和方法的优点在于,图形的认知签名的属性可以用于与底层数据的属性相关联,使系统成为大规模图形数据集的语义索引的理想选择。