Embedding Knowledge Graphs With Rdf2vec
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Embedding Knowledge Graphs with RDF2vec
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.
The Semantic Web
This two-volume set LNCS 15718-15719 constitutes the refereed proceedings of the 22nd European Semantic Web Conference, ESWC 2025, held in Portoroz, Slovenia, during June 1–5, 2025. The 45 full papers presented were carefully reviewed and selected from 155 submissions.The ESWC’s Research track addresses the theoretical, analytical, and empirical aspects of the semantic web, semantic technologies, knowledge graphs and semantics on the Web in general. The In-use track focuses on contributions that reuse and apply state-of-the-art semantic technologies or resources to real-world settings. The resource track deals with resource contributions that are, on the one hand innovative or novel, and on the other hand sharable and reusable (e.g. datasets, knowledge graphs, ontologies, workflows, benchmarks, frameworks), and provide the necessary scaffolding to support the generation of scientific work and advance the state of the art.
The Semantic Web: ESWC 2024 Satellite Events
Author: Albert Meroño Peñuela
language: en
Publisher: Springer Nature
Release Date: 2025-01-27
This two volume set constitutes the refereed proceedings of the International Conference, ESWC 2024 Satellite Events, held in Hersonissos, Crete, Greece during May 26–30, 2024. The 67 papers presented were carefully reviewed and selected from 128 submissions. This year conference aimed at acknowledging recent developments in AI with a special tagline, “Fabrics of Knowledge: Knowledge Graphs and Generative AI”. To reflect this year’s special topic, the satellite events of ESWC 2024 featured a Special Track on Large Language Models for Knowledge Engineering, in addition to the poster and demo session, the PhD symposium, the industry track, project networking, and workshops and tutorials.