| 书目名称 | Embedding Knowledge Graphs with RDF2vec |
| 编辑 | Heiko Paulheim,Petar Ristoski,Jan Portisch |
| 视频video | |
| 概述 | Explains what are knowledge graph embeddings are and how they can be computed.Demonstrates how RDF2vec is used as a building block in AI applications.Discusses which variants of RDF2vec exist and when |
| 丛书名称 | Synthesis Lectures on Data, Semantics, and Knowledge |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2023 |
| 关键词 | Data mining; knowledge representation in AI; Knowledge Graph Embeddings; dynamic knowledge graphs; ontol |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-30387-6 |
| isbn_softcover | 978-3-031-30389-0 |
| isbn_ebook | 978-3-031-30387-6Series ISSN 2691-2023 Series E-ISSN 2691-2031 |
| issn_series | 2691-2023 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:31:24
