Electric power heterogeneous knowledge fusion method and device
The invention relates to a power heterogeneous knowledge fusion method. The method comprises the following steps: acquiring a first triple with an entity relationship from ontology layers of at least two knowledge maps; the language model classifies entity relationships in the first triple into syno...
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| creator | FANG XIAOLING FANG ZHIJIAN CAI YUXIANG GAO XIAOXIN LIU LU JIANG XIN FAN WEILIN NI WENSHU DONG YANXU XIAO QIMIN |
| description | The invention relates to a power heterogeneous knowledge fusion method. The method comprises the following steps: acquiring a first triple with an entity relationship from ontology layers of at least two knowledge maps; the language model classifies entity relationships in the first triple into synonymous relationships and inclusion relationships according to relationship aggregation prompts; combining the entity relationships belonging to the synonymous relationship; obtaining a second triad with entity attributes or relation attributes from the ontology layers of at least two knowledge maps, wherein the second triad is used for storing entity attributes or relation attributes; the language model classifies attributes in the second triple into synonymous attributes and non-synonymous attributes according to attribute aggregation prompts; combining the entity attributes or relation attributes belonging to synonymous attributes; obtaining entities from instance layers of at least two knowledge maps, and dividi |
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The method comprises the following steps: acquiring a first triple with an entity relationship from ontology layers of at least two knowledge maps; the language model classifies entity relationships in the first triple into synonymous relationships and inclusion relationships according to relationship aggregation prompts; combining the entity relationships belonging to the synonymous relationship; obtaining a second triad with entity attributes or relation attributes from the ontology layers of at least two knowledge maps, wherein the second triad is used for storing entity attributes or relation attributes; the language model classifies attributes in the second triple into synonymous attributes and non-synonymous attributes according to attribute aggregation prompts; combining the entity attributes or relation attributes belonging to synonymous attributes; obtaining entities from instance layers of at least two knowledge maps, and dividi</abstract><oa>free_for_read</oa></addata></record> |
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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 ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Electric power heterogeneous knowledge fusion method and device |
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