知搜-全球专利检索

  1. Login
  2. Sign Up

Search Results

26 records (took 0.017 seconds)

    MASSIVELY SCALABLE REASONING ARCHITECTURE
    3.
    发明申请
    MASSIVELY SCALABLE REASONING ARCHITECTURE 有权
    大规模可推理性建筑

    公开(公告)号：US20110093430A1

    公开(公告)日：2011-04-21

    申请号：US12874821

    申请日：2010-09-02

    Applicant: Reza B'Far ,  Ryan Golden ,  Yasin Cengiz ,  Tsai-Ming Tseng ,  Sreedhar Chitullapally

    Inventor： Reza B'Far ,  Ryan Golden ,  Yasin Cengiz ,  Tsai-Ming Tseng ,  Sreedhar Chitullapally

    IPC: G06N5/02

    CPC classification number: G06F17/30525 ,  G06N5/02 ,  G06N5/04

    Abstract: Techniques for reasoning data are disclosed. The techniques may include storing data in a data store which may be a semantic data store. A plurality of reasoning modules are used to reason the data in order to detect violations of one or more business policies. The reasoning modules may include semantic reasoning modules and/or pattern-based reasoning modules. Results of reasoning the data may be displayed to one or more users.

    Abstract translation: 公开了推理数据的技术。 这些技术可以包括将数据存储在可以是语义数据存储的数据存储器中。 为了检测违反一个或多个业务策略，使用多个推理模块来推理数据。 推理模块可以包括语义推理模块和/或基于模式的推理模块。 可以向一个或多个用户显示推理数据的结果。

    Techniques for analyzing data from multiple sources
    5.
    发明授权
    Techniques for analyzing data from multiple sources 有权
    分析来自多个来源的数据的技术

    公开(公告)号：US08949236B2

    公开(公告)日：2015-02-03

    申请号：US12846684

    申请日：2010-07-29

    Applicant: Reza B'Far ,  Siddharth Sinha ,  Ryan Golden ,  Uppili Ranga Srinivasan ,  Alan Waxman ,  Mike Adourian ,  Nigel Jacobs

    Inventor： Reza B'Far ,  Siddharth Sinha ,  Ryan Golden ,  Uppili Ranga Srinivasan ,  Alan Waxman ,  Mike Adourian ,  Nigel Jacobs

    IPC: G06F17/30 ,  G06Q30/06

    CPC classification number: G06Q30/018 ,  G06F17/30292 ,  G06F17/30507 ,  G06Q30/06

    Abstract: Techniques, including systems are methods, for analyzing data from multiple sources are disclosed and suggested herein. In an embodiment, external information from one or more external information sources and internal information from one or more internal information sources is received. The received external information and internal information are stored in one or more data stores that collectively implement one or more ontologies. One or more conditions are applied to the external information and internal information in the one or more data stores to determine a conclusion and the conclusion is provided to a user.

    Abstract translation: 包括系统在内的技术是本文公开和建议的用于分析来自多个源的数据的方法。 在一个实施例中，接收来自一个或多个外部信息源的外部信息和来自一个或多个内部信息源的内部信息。 所接收的外部信息和内部信息被存储在共同实现一个或多个本体的一个或多个数据存储中。 将一个或多个条件应用于一个或多个数据存储器中的外部信息和内部信息以确定结论，并将结论提供给用户。

    Techniques for processing ontologies
    6.
    发明授权
    Techniques for processing ontologies 有权
    本体处理技术

    公开(公告)号：US08527443B2

    公开(公告)日：2013-09-03

    申请号：US12576176

    申请日：2009-10-08

    Applicant: Reza B'Far ,  Ryan Golden ,  Yasin Cengiz ,  Tsai-Ming Tseng

    Inventor： Reza B'Far ,  Ryan Golden ,  Yasin Cengiz ,  Tsai-Ming Tseng

    IPC: G06F17/16 ,  G06F17/40 ,  G06F17/30

    CPC classification number: G06N5/022 ,  G06F17/30563

    Abstract: Techniques for processing ontologies include a computer-implemented method of processing an ontology. The method includes storing data in an ontology and partitioning the ontology into a plurality of partitions. The partitions are distributed among a plurality of reasoner instances. The reasoner instances are directed to reason the partitions and the results from the reasoner instances are combined. If data is changed, an inference library resulting from the combined results may be updated by updating only those portions of the inference library affected by the changed data.

    Abstract translation: 用于处理本体的技术包括处理本体的计算机实现的方法。 该方法包括将数据存储在本体中并将本体划分成多个分区。 分区分布在多个推理器实例之间。 推理器实例是针对原因分组和来自推理器实例的结果进行组合的。 如果数据被更改，则可以通过仅更新受改变的数据影响的推理库的那些部分来更新由组合结果产生的推理库。

    APPLICATION CONFIGURATION GENERATION
    7.
    发明申请
    APPLICATION CONFIGURATION GENERATION 有权
    应用配置生成

    公开(公告)号：US20120310870A1

    公开(公告)日：2012-12-06

    申请号：US13149701

    申请日：2011-05-31

    Applicant: Americo Caves ,  Kent Spaulding ,  Reza B'Far

    Inventor： Americo Caves ,  Kent Spaulding ,  Reza B'Far

    IPC: G06F15/18 ,  G06G7/62

    CPC classification number: G06F11/3688 ,  G06F11/2247

    Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

    Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件，以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型，这些模型可用于确定最佳配置。

Patent Agency Ranking