The Semantic Web - ISWC 2024
Description
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.
Chapters 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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Content
.- Resource Track .
.- SparkKG-ML: A Library to Facilitate end-to-end Large-scale Machine Learning over Knowledge Graphs in Python.
.- KROWN: A Benchmark for RDF Graph Materialisation.
.- KGHeartBeat: a Knowledge Graph Quality Assessment Tool.
.- InstructIE: A Bilingual Instruction-based Information Extraction Dataset.
.- Diachronical geometry without polygons: the extended HHT ontology for heterogeneous geometrical representations.
.- CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks.
.- AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning.
.- SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles.
.- The ICS-SEC KG: An Integrated Cybersecurity Resource for Industrial Control Systems.
.- Data Privacy Vocabulary (DPV) - Version 2.0.
.- In-Use Track .
.- Developing Application Profiles for Enhancing Data and Workflows in Cultural Heritage Digitisation Processes.
.- Intelligent Urban Traffic Management via Semantic Interoperability across Multiple Heterogeneous Mobility Data Sources.
.- Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop.
.- UFEL: a By-design Understandable and Frugal Entity Linking System for French Microposts.
.- Leveraging Knowledge Graphs for Earth System Dataset Discovery.
.- Semantic and technically interoperable data exchange in the Flanders Smart Data Space.
.- Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data.
.- Increasing the Accuracy of LLM Question-Answering Systems on SQL Databases with Ontologies.