METHOD AND APPARATUS TO EXTRACT CLIENT DATA WITH CONTEXT USING ENTERPRISE KNOWLEDGE GRAPH FRAMEWORK

METHOD AND APPARATUS TO EXTRACT CLIENT DATA WITH CONTEXT USING ENTERPRISE KNOWLEDGE GRAPH FRAMEWORK

A system for generating and inferencing using enterprise knowledge graphs is provided. The system receives first input data related to one or more entities from one or more data sources. The system extracts a first set of data components from the first input data and determines, based upon the extra...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CONNELLY, Matthew F, FLAVELL, Mark John, VOYLES, Joseph David, CHENG, Winnie, SHARPLES, Craig, LIKENS, Scott, HODA, Shaz, LEONG, Kevin Ma, DAVIES, Rhodri, HAMER, Nicholas John, LI, Chung-Sheng
Format: Patent
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung:A system for generating and inferencing using enterprise knowledge graphs is provided. The system receives first input data related to one or more entities from one or more data sources. The system extracts a first set of data components from the first input data and determines, based upon the extracted data components, a second set of data components. The system identifies one or more relationships between the first set of data components and the second set of data components and generate a knowledge graph comprising a plurality of nodes. A first node of the knowledge graph can represent a first respective data component of the first set of data components and a second node of the knowledge graph can represent a second respective data component of the second set of data components. The first node can be associated with the second node based on an identified relationship between the nodes.