Knowledge graph entity relationship mining method based on path sorting

The invention discloses a knowledge graph entity relationship mining method based on path sorting. The method comprises the steps of obtaining a path and a path partition mapping table of a to-be-mined file; determining a lexicographical order of a path of the to-be-mined file; obtaining a minimum a...

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Bibliographic Details
Main Author XIAO QINGLIN
Format Patent
LanguageChinese
English
Published 08.11.2019
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Summary:The invention discloses a knowledge graph entity relationship mining method based on path sorting. The method comprises the steps of obtaining a path and a path partition mapping table of a to-be-mined file; determining a lexicographical order of a path of the to-be-mined file; obtaining a minimum absolute path lexicographical order; determining partition information to which the target absolute path belongs; taking all files in a partition corresponding to the target partition information as a file set to which the mining file belongs; analyzing a data mining process; determining a node for providing physical resources for each execution step; determining the maximum data volume of the input data capable of being processed by the distributed system; and performing mining processing on thedata to be mined according to each execution step. According to the method, related files can be mined in a large-scale file storage system, the storage space is remarkably reduced, the file mining performance is improved, t
Bibliography:Application Number: CN201910499161