首页> 外国专利> Cognitive memory encoding networks for fast semantic indexing storage and retrieval

Cognitive memory encoding networks for fast semantic indexing storage and retrieval

机译:用于快速语义索引存储和检索的认知内存编码网络

摘要

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.
机译: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。该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海量数据集,语言图,蛋白质图,蛋白质图,化学图,生化途径图,图像或图片图的全部或部分。以及动态图形(例如交通图或流量)以及图形的运动图片序列。该系统和方法的优点在于,可以将图的认知签名的属性与基础数据的属性相关联地使用,从而使该系统非常适合大规模图数据集的语义索引。

著录项

  • 公开/公告号US9158847B1

    专利类型

  • 公开/公告日2015-10-13

    原文格式PDF

  • 申请/专利权人 ARUN MAJUMDAR;

    申请/专利号US201213553662

  • 发明设计人 ARUN MAJUMDAR;

    申请日2012-07-19

  • 分类号G06F7/00;G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 15:23:39

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号