Knowledge graph processing method and device
The invention discloses a knowledge graph processing method and device. The method comprises the steps that multiple sets of entity data and multiple candidate relation templates are acquired from a to-be-analyzed text, and the candidate relation templates are used for describing the relation betwee...
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creator | HAN XUHONG |
description | The invention discloses a knowledge graph processing method and device. The method comprises the steps that multiple sets of entity data and multiple candidate relation templates are acquired from a to-be-analyzed text, and the candidate relation templates are used for describing the relation between the multiple sets of entity data in one set of entity data; for each group of entity data, the successful matching frequency of candidate relationship templates matched with the group of entity data in the to-be-analyzed text is determined; the correct matching probability between each group of entity data and each candidate relation template is determined according to the matching success frequency of each group of entity data and each candidate relation template; and the entity data relationship in the knowledge graph is supplemented according to the correct matching probability between each group of entity data and the candidate relationship template. The technical problems that in therelated art, time and lab |
format | Patent |
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The method comprises the steps that multiple sets of entity data and multiple candidate relation templates are acquired from a to-be-analyzed text, and the candidate relation templates are used for describing the relation between the multiple sets of entity data in one set of entity data; for each group of entity data, the successful matching frequency of candidate relationship templates matched with the group of entity data in the to-be-analyzed text is determined; the correct matching probability between each group of entity data and each candidate relation template is determined according to the matching success frequency of each group of entity data and each candidate relation template; and the entity data relationship in the knowledge graph is supplemented according to the correct matching probability between each group of entity data and the candidate relationship template. 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The method comprises the steps that multiple sets of entity data and multiple candidate relation templates are acquired from a to-be-analyzed text, and the candidate relation templates are used for describing the relation between the multiple sets of entity data in one set of entity data; for each group of entity data, the successful matching frequency of candidate relationship templates matched with the group of entity data in the to-be-analyzed text is determined; the correct matching probability between each group of entity data and each candidate relation template is determined according to the matching success frequency of each group of entity data and each candidate relation template; and the entity data relationship in the knowledge graph is supplemented according to the correct matching probability between each group of entity data and the candidate relationship template. The technical problems that in therelated art, time and lab</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNDxzssvz0lNSU9VSC9KLMhQKCjKT04tLs7MS1fITS3JyE9RSMxLUUhJLctMTuVhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGBgaGlhYmxo7GxKgBAJb_Kbw</recordid><startdate>20190716</startdate><enddate>20190716</enddate><creator>HAN XUHONG</creator><scope>EVB</scope></search><sort><creationdate>20190716</creationdate><title>Knowledge graph processing method and device</title><author>HAN XUHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110019843A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>HAN XUHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HAN XUHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Knowledge graph processing method and device</title><date>2019-07-16</date><risdate>2019</risdate><abstract>The invention discloses a knowledge graph processing method and device. The method comprises the steps that multiple sets of entity data and multiple candidate relation templates are acquired from a to-be-analyzed text, and the candidate relation templates are used for describing the relation between the multiple sets of entity data in one set of entity data; for each group of entity data, the successful matching frequency of candidate relationship templates matched with the group of entity data in the to-be-analyzed text is determined; the correct matching probability between each group of entity data and each candidate relation template is determined according to the matching success frequency of each group of entity data and each candidate relation template; and the entity data relationship in the knowledge graph is supplemented according to the correct matching probability between each group of entity data and the candidate relationship template. The technical problems that in therelated art, time and lab</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Knowledge graph processing method and device |
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