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portada Embedding Knowledge Graphs With Rdf2Vec (Synthesis Lectures on Data, Semantics, and Knowledge)
Type
Physical Book
Publisher
Author
Language
English
Pages
158
Format
Paperback
ISBN13
9783031303890
Edition No.
2023rd

Embedding Knowledge Graphs With Rdf2Vec (Synthesis Lectures on Data, Semantics, and Knowledge)

Heiko Paulheim; Petar Ristoski; Jan Portisch (Author) · Springer · Paperback

Embedding Knowledge Graphs With Rdf2Vec (Synthesis Lectures on Data, Semantics, and Knowledge) - Heiko Paulheim; Petar Ristoski; Jan Portisch

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Synopsis "Embedding Knowledge Graphs With Rdf2Vec (Synthesis Lectures on Data, Semantics, and Knowledge)"

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.

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