Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning-Reference-Cited by-同舟云学术

Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)
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Author:

Draschner Carsten Felix¹^ORCID,Jabeen Hajira²^ORCID,Lehmann Jens³^ORCID

Affiliation:

1. Information Systems and Artificial Intelligence, University of Bonn,Bonn,Germany

2. Big Data Analytics Leibniz GESIS Institute,Cologne,Germany

3. Amazon (Work done while at University of Bonn.),Dresden,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9939177/9939132/09939282.pdf?arnumber=9939282

Reference48 articles.

1. DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs

2. Knowledge Graph Embedding Compression

3. Knowledge graph embeddings and explainable ai;palmonari;Knowledge Graphs for Explainable Artificial Intelligence Foundations Applications and Challenges,2020

4. On the role of knowledge graphs in explainable AI

5. Pytorch-biggraph: A large-scale graph embedding system;lerer;ArXiv Preprint,2019

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