Knowledge graph construction method based on manufacturing industry full life cycle data
The invention relates to a knowledge graph construction method based on full-service full-product life cycle data in the manufacturing industry, and the method comprises the following steps: S10, constructing a preliminary knowledge graph from top to bottom based on expert knowledge, the constructio...
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| creator | FENG DEFAN SONG XUAN |
| description | The invention relates to a knowledge graph construction method based on full-service full-product life cycle data in the manufacturing industry, and the method comprises the following steps: S10, constructing a preliminary knowledge graph from top to bottom based on expert knowledge, the construction of the knowledge graph defining the type of key entities and the relationship between the key entities; s20, part of complete full-life-cycle data of the manufacturing industry products are tracked and collected to serve as the most basic training data containing labels, and then for a large amount of full-life-cycle statistical-level data, the statistical-level data are divided into a plurality of sub-graphs according to the time dimension; s30, constructing a graph Markov model, for each adjacent time slice, analyzing the initial state of the sub-graph and the value of the final state between the states, calculating a change difference value as training data, substituting the change difference value into the gr |
| format | Patent |
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s20, part of complete full-life-cycle data of the manufacturing industry products are tracked and collected to serve as the most basic training data containing labels, and then for a large amount of full-life-cycle statistical-level data, the statistical-level data are divided into a plurality of sub-graphs according to the time dimension; s30, constructing a graph Markov model, for each adjacent time slice, analyzing the initial state of the sub-graph and the value of the final state between the states, calculating a change difference value as training data, substituting the change difference value into the gr</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240416&DB=EPODOC&CC=CN&NR=117892817A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240416&DB=EPODOC&CC=CN&NR=117892817A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FENG DEFAN</creatorcontrib><creatorcontrib>SONG XUAN</creatorcontrib><title>Knowledge graph construction method based on manufacturing industry full life cycle data</title><description>The invention relates to a knowledge graph construction method based on full-service full-product life cycle data in the manufacturing industry, and the method comprises the following steps: S10, constructing a preliminary knowledge graph from top to bottom based on expert knowledge, the construction of the knowledge graph defining the type of key entities and the relationship between the key entities; 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s20, part of complete full-life-cycle data of the manufacturing industry products are tracked and collected to serve as the most basic training data containing labels, and then for a large amount of full-life-cycle statistical-level data, the statistical-level data are divided into a plurality of sub-graphs according to the time dimension; s30, constructing a graph Markov model, for each adjacent time slice, analyzing the initial state of the sub-graph and the value of the final state between the states, calculating a change difference value as training data, substituting the change difference value into the gr</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Knowledge graph construction method based on manufacturing industry full life cycle data |
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