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    • 3. 发明申请
    • Large Scale Probabilistic Ontology Reasoning
    • 大规模概率本体论推理
    • US20110082828A1
    • 2011-04-07
    • US12574237
    • 2009-10-06
    • Achille B. Fokoue-NkoutcheAditya KalyanpurEdith G. SchonbergKavitha Srinivas
    • Achille B. Fokoue-NkoutcheAditya KalyanpurEdith G. SchonbergKavitha Srinivas
    • G06N5/02
    • G06N5/02G06N7/005
    • Techniques for computing a solution to a query formulated against a knowledge base (KB) are provided. The techniques include receiving a query formulated against a knowledge base, wherein the knowledge base comprises a set of one or more axioms, wherein each axiom is annotated with a specific probability value indicating a degree of certainty assigned thereto, ignoring each probability value of the one or more axioms and computing a solution to the query, computing each of one or more justifications for the query solution, wherein computing each of one or more justifications for the query solution comprises determining a minimal set of one or more axioms in the knowledge base that entail the query solution, and using each probability value of the one or more axioms in each justification to compute a net probability of an inferred query solution.
    • 提供了用于计算针对知识库(KB)制定的查询的解决方案的技术。 这些技术包括接收针对知识库制定的查询,其中所述知识库包括一组一个或多个公理,其中每个公理用指示分配给其的确定程度的特定概率值进行注释,忽略该概率值的一个概率值 或更多的公理,并计算查询的解决方案,计算查询解决方案的一个或多个理由中的每一个,其中计算查询解决方案的一个或多个理由中的每一个包括确定知识库中的一个或多个公理的最小集合, 需要查询解决方案,并使用每个对齐中的一个或多个公理的每个概率值来计算推断的查询解的净概率。
    • 6. 发明授权
    • Large scale probabilistic ontology reasoning
    • 大规模概率本体推理
    • US09361579B2
    • 2016-06-07
    • US12574237
    • 2009-10-06
    • Achille B. Fokoue-NkoutcheAditya KalyanpurEdith G. SchonbergKavitha Srinivas
    • Achille B. Fokoue-NkoutcheAditya KalyanpurEdith G. SchonbergKavitha Srinivas
    • G06N5/02G06N7/00
    • G06N5/02G06N7/005
    • Techniques for computing a solution to a query formulated against a knowledge base (KB) are provided. The techniques include receiving a query formulated against a knowledge base, wherein the knowledge base comprises a set of one or more axioms, wherein each axiom is annotated with a specific probability value indicating a degree of certainty assigned thereto, ignoring each probability value of the one or more axioms and computing a solution to the query, computing each of one or more justifications for the query solution, wherein computing each of one or more justifications for the query solution comprises determining a minimal set of one or more axioms in the knowledge base that entail the query solution, and using each probability value of the one or more axioms in each justification to compute a net probability of an inferred query solution.
    • 提供了用于计算针对知识库(KB)制定的查询的解决方案的技术。 这些技术包括接收针对知识库制定的查询,其中所述知识库包括一组一个或多个公理,其中每个公理用指示分配给其的确定程度的特定概率值进行注释,忽略该概率值的一个概率值 或更多的公理,并计算查询的解决方案,计算查询解决方案的一个或多个理由中的每一个,其中计算查询解决方案的一个或多个理由中的每一个包括确定知识库中的一个或多个公理的最小集合, 需要查询解决方案,并使用每个对齐中的一个或多个公理的每个概率值来计算推断的查询解的净概率。