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The Semantic Web – ISWC 2024 : 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings, Part I / / edited by Gianluca Demartini, Katja Hose, Maribel Acosta, Matteo Palmonari, Gong Cheng, Hala Skaf-Molli, Nicolas Ferranti, Daniel Hernández, Aidan Hogan



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Autore: Demartini Gianluca Visualizza persona
Titolo: The Semantic Web – ISWC 2024 : 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings, Part I / / edited by Gianluca Demartini, Katja Hose, Maribel Acosta, Matteo Palmonari, Gong Cheng, Hala Skaf-Molli, Nicolas Ferranti, Daniel Hernández, Aidan Hogan Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (292 pages)
Disciplina: 005.74
Soggetto topico: Database management
Artificial intelligence
Computer science
Data structures (Computer science)
Information theory
Application software
Database Management
Artificial Intelligence
Theory of Computation
Data Structures and Information Theory
Computer and Information Systems Applications
Altri autori: HoseKatja  
AcostaMaribel  
PalmonariMatteo  
ChengGong  
Skaf-MolliHala  
FerrantiNicolas  
HernándezDaniel  
HoganAidan  
Nota di contenuto: -- 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.
Sommario/riassunto: 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. This conference focuses on research on the Semantic Web, including benchmarks, knowledge graphs, tools and vocabularies.
Titolo autorizzato: The Semantic Web – ISWC 2024  Visualizza cluster
ISBN: 9783031778445
3031778448
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996630870903316
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15231