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Methods and systems for automated semantic knowledge leveraging graph theoretic analysis and the inherent structure of communication

机译:利用图论分析和通信固有结构进行自动语义知识的方法和系统

摘要

A system that processes a collection of one or more documents and thereby constructs a knowledge base is described. The system leverages innovative graph theoretical analysis of documents leveraging the inherent structure in communication. Through the generation of the automated knowledge base the system is able to provides intra-document analysis such as variable summarization and indexing, document key concepts, better filtering and relevance matching on a semantic level for documents, context dependant directories, document categorization, better basis for natural language processing, new knowledge and information through the amalgamation of the data (collection intelligence).
机译:描述了一种处理一个或多个文档的集合从而构建知识库的系统。该系统利用文件的创新图形理论分析来利用通信中的固有结构。通过自动知识库的生成,系统能够提供文档内分析,例如变量汇总和索引编制,文档关键概念,在文档语义层次上更好的过滤和相关性匹配,上下文相关目录,文档分类,更好的基础通过合并数据(收集情报)进行自然语言处理,新知识和新信息。

著录项

  • 公开/公告号US7571177B2

    专利类型

  • 公开/公告日2009-08-04

    原文格式PDF

  • 申请/专利权人 ADITYA DAMLE;

    申请/专利号US20030467251

  • 发明设计人 ADITYA DAMLE;

    申请日2002-02-08

  • 分类号G06F7;G06F17;

  • 国家 US

  • 入库时间 2022-08-21 19:29:53

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