The Semantic Web - ISWC 2024

23rd International Semantic Web Conference, Baltimore, MD, USA, November 11-15, 2024, Proceedings, Part II
Erscheinungsjahr 2024
ISBN: 978-3-031-77849-0
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 15232, 249 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Demartini, Gianluca

Hose, Katja

Acosta, Maribel

Palmonari, Matteo

Hogan, Aidan

Cheng, Gong

Skaf-Molli, Hala

Ferranti, Nicolas

Hernández, Daniel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker

Inhaltsverzeichnis

.- Research Track.

.- AdaptLIL: A Real-Time Adaptive Linked Indented List Visualization for Ontology Mapping.

.- DISCIE - Discriminative Closed Information Extraction.

.- Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation.

.- Compiling SHACL into SQL.

.- DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search.

.- CRAWD: Sampling-Based Estimation of Count-Distinct SPARQL Queries.

.- Exploiting Distant Supervision to Learn Semantic Descriptions of Tables with Overlapping Data.

.- PathFinder: Returning Paths in Graph Queries.

.- eSPARQL: Representing and Reconciling Agnostic and Atheistic Beliefs in RDF-star knowledge graphs.

.- Understanding SPARQL Queries: Are We Already There? Multilingual Natural Language Generation based on SPARQL Queries and Large Language Models.

.- Advancing Robotic Perception with Perceived-Entity Linking.

.- PreAdapter: Pre-training Language Models on Knowledge Graphs.

.- PRONTO: Prompt-based Detection of Semantic Containment Patterns in MLMs.