Semantic Web – ISWC 2024

23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings, Part I

Häftad, Engelska, 2024

Av Gianluca Demartini, Katja Hose, Maribel Acosta, Matteo Palmonari, Gong Cheng, Hala Skaf-Molli, Nicolas Ferranti, Daniel Hernández, Aidan Hogan, Daniel Hernandez

959 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This three-volume set constitutes the proceedings of the 23rd International Semantic Web Conference, ISWC 2023, held in Hanover, MD, USA, during November 11-15, 2024. The 44 full papers presented in these proceedings were carefully reviewed and selected from 155 submissions.

Produktinformation

Utgivningsdatum2024-11-27
Mått155 x 235 x 17 mm
Vikt458 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor259
FörlagSpringer International Publishing AG
ISBN9783031778438

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Programmeringsböcker inom Data och it
Artificiell intelligens inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik
Databaser inom Data och it

.- Research Track..- SnapE - Training Snapshot Ensembles of Link Prediction Models..- Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets..- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web..- Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs..- Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery..- Repairing Networks of EL⊥ Ontologies using Weakening and Completing..- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective..- Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion..- Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation..- Unaligned Federated Knowledge Graph Embedding..- Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion..- BLINK: Blank Node Matching Using Embeddings..- Distilling Event Sequence Knowledge From Large Language Models.