Entity Profiling in Knowledge Graphs

Entity Profiling in Knowledge Graphs

Knowledge Graphs (KGs) are graph-structured knowledge bases storing factual information about real-world entities. Understanding the uniqueness of each entity is crucial to the analyzing, sharing, and reusing of KGs. Traditional profiling technologies encompass a vast array of methods to find distin...

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Bibliographic Details
Main Authors: Xiang Zhang, Qingqing Yang, Jinru Ding, Ziyue Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Knowledge graph
entity profiling
representation learning
Online Access:https://ieeexplore.ieee.org/document/8985548/

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