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Ontological subjects of a universe and knowledge processing thereof

机译:宇宙的本体论主题及其知识处理

摘要

The present invention discloses methods, systems, and tools for knowledge processing by building various data structures corresponding to uncovered informational data such as values of association strengths or significance measures and maps of ontological subjects of compositions or one or more content accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject association strength/value measures and spectrums to each composition or ontological subject. The resulting data, spectrums, and the adjacency matrix of the map are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery or automatically generating high value compositions or new or less known knowledge about the ontological subjects of the universe. The invention serves knowledge seekers, knowledge creators, intelligent machines or robots, inventors, discoverer, as well as general public by assisting and guiding users to assess their work, identify their unknowns, optimize their research trajectory, and provide higher quality content. The method and system, thereby, is instrumental in increasing the speed and efficiency of knowledge acquisition, machine learnings, autonomous decision making, navigations, discovery, retrieval, as well as faster learning and problem solving.
机译:本发明公开了用于知识处理的方法,系统和工具,其通过建立与未发现的信息数据相对应的各种数据结构,例如关联强度或重要性度量的值以及组成的本体论主题的图或伴随着服务请求的一个或多个内容。用户。在本发明的一个实施例中,该方法为每个组合物或本体论对象分配并计算本体论对象关联强度/值度量和频谱。地图的结果数据,光谱和邻接矩阵用于在参考宇宙的背景下评估组合的优劣。它也用作知识发现或自动生成高价值成分或有关宇宙本体论主题的新知识或鲜为人知的知识的研究指导工具。本发明通过帮助和指导用户评估他们的工作,识别他们的未知数,优化他们的研究轨迹并提供更高质量的内容,为知识搜寻者,知识创造者,智能机器或机器人,发明者,发现者以及普通大众服务。因此,该方法和系统有助于提高知识获取,机器学习,自主决策,导航,发现,检索以及更快的学习和问题解决的速度和效率。

著录项

  • 公开/公告号US9679030B2

    专利类型

  • 公开/公告日2017-06-13

    原文格式PDF

  • 申请/专利权人 HAMID HATAMI-HANZA;

    申请/专利号US201514616687

  • 发明设计人 HAMID HATAMI-HANZA;

    申请日2015-02-07

  • 分类号G06F17/30;G06N5/02;

  • 国家 US

  • 入库时间 2022-08-21 13:45:55

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