inputting a sample text in natural language at a workstation connected to the network;performing a semantic analysis of the sample text to extract a set of initial concepts belonging to the given semantic graph;accessing the equipment to identify a list of candidate concepts in the given semantic graph, the candidate concepts being the concepts of the semantic graph within a given maximum distance according to a given distance function away from an initial concept;calculating for each candidate concept a proximity score representative of the distances between the candidate concept and each initial concept;identifying as matching concepts the candidate concepts with the highest proximity score."/> Method for discovering relevant concepts in a semantic graph of concepts
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Method for discovering relevant concepts in a semantic graph of concepts

机译:在概念的语义图中发现相关概念的方法

摘要

The present invention is related to a method for identifying in a given semantic graph of linked concepts a set of concepts matching the content of a text, the semantic graph of linked concepts being stored in at least one equipment connected to a network, the methods comprising of the following steps:inputting a sample text in natural language at a workstation connected to the network;performing a semantic analysis of the sample text to extract a set of initial concepts belonging to the given semantic graph;accessing the equipment to identify a list of candidate concepts in the given semantic graph, the candidate concepts being the concepts of the semantic graph within a given maximum distance according to a given distance function away from an initial concept;calculating for each candidate concept a proximity score representative of the distances between the candidate concept and each initial concept;identifying as matching concepts the candidate concepts with the highest proximity score.
机译:本发明涉及一种用于在给定的链接概念的语义图中识别与文本内容匹配的概念集合的方法,该链接概念的语义图被存储在连接到网络的至少一个设备中,该方法包括:以下步骤: 在连接到网络的工作站上以自然语言输入示例文本; 对示例文本进行语义分析以提取属于给定语义图的一组初始概念; 访问设备以标识给定语义图中的候选概念列表,候选概念是根据距初始概念的给定距离函数在给定最大距离内的语义图的概念; 为每个候选概念计算接近度代表候选概念与每个初始概念之间距离的分数; identifyi将匹配分数最高的候选概念作为匹配概念。

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