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Embedding Knowledge Graphs with RDF2vec

Name: Embedding Knowledge Graphs with RDF2vec
Brand: Springer Nature B.V.
SKU: 9783031303883
Price: 289.35 RON
Availability: InStock

Autor: Heiko Paulheim, Petar Ristoski, Jan Portisch

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Legare: Carte broșată

Editura: Springer Nature B.V.

Disponibilitate: În depozitul extern

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This book explains the ideas behind one of the most well-known methods for knowledge graph embedding...

Informații despre carte

Autor

Heiko Paulheim, Petar Ristoski, Jan Portisch

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2023

Pagini

170

EAN

9783031303883

ISBN

3031303881

Enbook ID

50452568

Editura

Springer Nature B.V.

Greutate

283

Dimensiuni

170 x 244 x 9

Descriere completă

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.