Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine

Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine

Bio-ontologies and Linked Data have become integral part of biological and biomedical knowledge bases with over 500 of them and millions of triples. Such knowledge bases are primarily developed for information retrieval, query processing, data integration, standardization, and provision. Developing...

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Bibliographic Details
Main Author: AlShahrani, Mona
Other Authors: Hoehndorf, Robert
Language:en
Published: 2019
Subjects:
knowledge graphs
representation learning
biomedicine
machine learning
features learning
knowledge graphs embeddings methods
Online Access:http://hdl.handle.net/10754/660002

Internet

http://hdl.handle.net/10754/660002

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