JECI++: A Modified Joint Knowledge Graph Embedding Model for Concepts and Instances-Reference-Cited by-同舟云学术

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JECI++: A Modified Joint Knowledge Graph Embedding Model for Concepts and Instances

Published:2021-05 Issue: Volume:24 Page:100160
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Wang Peng^ORCID,Zhou Jing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference31 articles.

1. Knowledge vault: a web-scale approach to probabilistic knowledge fusion;Dong,2014

2. Knowledge graph embedding: a survey of approaches and applications;Wang;IEEE Trans. Knowl. Data Eng.,2017

3. Word representations: a simple and general method for semi-supervised learning;Turian,2010

4. Translating embeddings for modeling multi-relational data;Bordes,2013

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1. A knowledge graphs representation method based on IsA relation modeling;Expert Systems with Applications;2024-11

2. Concept graph construction and applied research of agricultural remote sensing;International Journal of Remote Sensing;2024-06-24

3. SFCA: A Scalable Formal Concepts Driven Architecture for Multi-Field Knowledge Graph Completion;Applied Sciences;2023-06-05

4. CIST: Differentiating Concepts and Instances Based on Spatial Transformation for Knowledge Graph Embedding;Mathematics;2022-09-02

5. Knowledge mapping omni channel system for the diagnosis and the treatment of traditional Chinese medicines based on an identification analysis;E3S Web of Conferences;2021

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