Semantic Web – ISWC 2024

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

Häftad, Engelska, 2024

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

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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 16 mm
Vikt435 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor249
FörlagSpringer International Publishing AG
ISBN9783031778490

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..- 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.