Embedding Knowledge Graphs with RDF2vec |
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Author:
| Paulheim, Heiko Ristoski, Petar Portisch, Jan |
Series title: | Synthesis Lectures on Data, Semantics, and Knowledge Ser. |
ISBN: | 978-3-031-30386-9 |
Publication Date: | Jun 2023 |
Publisher: | Springer International Publishing AG
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Imprint: | Springer |
Book Format: | Hardback |
List Price: | USD $49.99 |
Book Description:
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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...
More 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.