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INCREMENTAL REASONING BASED ON SCALABLE AND DYNAMICAL SEMANTIC DATA

机译:基于可伸缩动态语义数据的增量推理

摘要

Techniques for performing inference tasks based on a set of semantic data are generally described. In some examples, a method and system for processing a scalable and dynamic set of semantic data is described. The method may include, by an incremental inference system, extracting a first set of related data from a set of semantic data based on an inference task. The method may comprise generating, by an incremental inference system, a first set of inference results by performing an inference task based on the first set of related data. The method may further comprise, by an incremental inference system, maintaining a relevance tree based on the first set of related data, wherein the incremental inferencing system is adapted to determine, from the set of semantic data, And to generate a second set of speculation results based on the second set of related data.;
机译:总体上描述了用于基于一组语义数据执行推理任务的技术。在一些示例中,描述了用于处理语义数据的可缩放和动态集合的方法和系统。该方法可以包括:通过增量推理系统,基于推理任务,从一组语义数据中提取第一组相关数据。该方法可以包括由增量推理系统通过基于第一组相关数据执行推理任务来生成第一组推理结果。该方法可以进一步包括:由增量推论系统基于第一组相关数据来维护相关性树,其中,该增量推论系统适于从该组语义数据确定并生成第二组推测基于第二组相关数据的结果;

著录项

  • 公开/公告号KR101764994B1

    专利类型

  • 公开/公告日2017-08-03

    原文格式PDF

  • 申请/专利号KR20157034702

  • 发明设计人 팡 준;

    申请日2013-05-31

  • 分类号G06F17/30;G06N5/02;G06N5/04;

  • 国家 KR

  • 入库时间 2022-08-21 13:25:03

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