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ISWC 2024 $e23rd International Semantic Web Conference, Baltimore, MD, USA, November 11?15, 2024, Proceedings, Part III /$fedited by Gianluca Demartini, Katja Hose, Maribel Acosta, Matteo Palmonari, Gong Cheng, Hala Skaf-Molli, Nicolas Ferranti, Daniel Hernández, Aidan Hogan 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (370 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15233 311 08$a9783031778469 311 08$a3031778464 327 $a -- 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. 330 $aChapters 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15233 606 $aDatabase management 606 $aArtificial intelligence 606 $aComputer science 606 $aData structures (Computer science) 606 $aInformation theory 606 $aApplication software 606 $aDatabase Management 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aData Structures and Information Theory 606 $aComputer and Information Systems Applications 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aApplication software. 615 14$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aData Structures and Information Theory. 615 24$aComputer and Information Systems Applications. 676 $a005.74 700 $aDemartini$b Gianluca$01089142 701 $aHose$b Katja$01782741 701 $aAcosta$b Maribel$01354882 701 $aPalmonari$b Matteo$01320691 701 $aCheng$b Gong$01434695 701 $aSkaf-Molli$b Hala$01782742 701 $aFerranti$b Nicolas$01782743 701 $aHerna?ndez$b Daniel$00 701 $aHogan$b Aidan$0883092 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983035003321 996 $aThe Semantic Web ? ISWC 2024$94309244 997 $aUNINA