Method for discovering relevant concepts in a semantic graph of concepts

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.