Description
This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors describe its usage in practice, from reusing pre-trained knowledge graph embeddings to training tailored vectors for a knowledge graph at hand. They also demonstrate different extensions of RDF2vec and how they affect not only the downstream performance, but also the expressivity of the resulting vector representation, and analyze the resulting vector spaces and the semantic properties they encode.
Author: Heiko Paulheim, Petar Ristoski, Jan Portisch
Publisher: Springer
Published: 06/04/2023
Pages: 158
Binding Type: Hardcover
Weight: 1.00lbs
Size: 9.61h x 6.69w x 0.55d
ISBN13: 9783031303869
ISBN10: 3031303865
BISAC Categories:
- Computers | Artificial Intelligence | Expert Systems
- Computers | Data Science | Data Analytics