Embedding Knowledge Graphs with RDF2vec

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Embedding Knowledge Graphs with RDF2vec
Περιγραφή: 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.
Συγγραφείς: Heiko Paulheim, Petar Ristoski, Jan Portisch
Resource Type: eBook.
Θέματα: Information visualization--Data processing
Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Artificial Intelligence / Expert Systems, MATHEMATICS / Probability & Statistics / General
Βάση Δεδομένων: eBook Index
Περιγραφή
ISBN:9783031303869
9783031303876