LEADER 04330nam 22008175 450 001 996630870903316 005 20251225183506.0 010 $a9783031778445 010 $a3031778448 024 7 $a10.1007/978-3-031-77844-5 035 $a(CKB)36679610000041 035 $a(MiAaPQ)EBC31806132 035 $a(Au-PeEL)EBL31806132 035 $a(DE-He213)978-3-031-77844-5 035 $a(OCoLC)1474240410 035 $a(EXLCZ)9936679610000041 100 $a20241126d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Semantic Web ? ISWC 2024 $e23rd International Semantic Web Conference, Baltimore, MD, USA, November 11?15, 2024, Proceedings, Part I /$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 (292 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15231 311 08$a9783031778438 311 08$a303177843X 327 $a -- 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. 330 $aThis three-volume set constitutes the proceedings of the 23rd International Semantic Web Conference, ISWC 2023, held in Hanover, MD, USA, during November 11-15, 2024. The 44 full papers presented in these proceedings were carefully reviewed and selected from 155 submissions. This conference focuses on research on the Semantic Web, including benchmarks, knowledge graphs, tools and vocabularies. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15231 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 $a996630870903316 996 $aThe Semantic Web ? ISWC 2024$94309244 997 $aUNISA