A Schema-Driven Synthetic Knowledge Graph Generation Approach With Extended Graph Differential Dependencies (GDD<sup>x</sup>s)

A Schema-Driven Synthetic Knowledge Graph Generation Approach With Extended Graph Differential Dependencies (GDD<sup>x</sup>s)

Knowledge Graphs (KGs), as one of the key trends which are driving the next wave of technologies, have now become a new form of knowledge representation, and a cornerstone for several applications from generic to specific industrial use cases. However, in some specific domains such as law enforcemen...

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Bibliographic Details
Main Authors: Zaiwen Feng, Wolfgang Mayer, Keqing He, Selasi Kwashie, Markus Stumptner, Georg Grossmann, Rong Peng, Wangyu Huang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Synthetic graph data
graph dependencies
data modeling
semantic-based graph generation
Online Access:https://ieeexplore.ieee.org/document/9311121/

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