001483925 000__ 06982cam\\22007217i\4500
001483925 001__ 1483925
001483925 003__ OCoLC
001483925 005__ 20240117003307.0
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001483925 008__ 231107s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001483925 019__ $$a1407315306
001483925 020__ $$a9783031472404$$q(electronic bk.)
001483925 020__ $$a3031472403$$q(electronic bk.)
001483925 020__ $$z9783031472398
001483925 0247_ $$a10.1007/978-3-031-47240-4$$2doi
001483925 035__ $$aSP(OCoLC)1407627188
001483925 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCQ
001483925 049__ $$aISEA
001483925 050_4 $$aTK5105.88815$$b.I56 2023eb
001483925 08204 $$a006$$223/eng/20231107
001483925 1112_ $$aInternational Semantic Web Conference$$n(22nd :$$d2023 :$$cAthens, Greece)
001483925 24514 $$aThe semantic web -- ISWC 2023 :$$b22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings.$$nPart I /$$cTerry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, Juanzi Li, editors.
001483925 2463_ $$aISWC 2023
001483925 264_1 $$aCham :$$bSpringer,$$c2023.
001483925 300__ $$a1 online resource (xlv, 640 pages) :$$billustrations (some color).
001483925 336__ $$atext$$btxt$$2rdacontent
001483925 337__ $$acomputer$$bc$$2rdamedia
001483925 338__ $$aonline resource$$bcr$$2rdacarrier
001483925 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14265
001483925 500__ $$aIncludes author index.
001483925 5050_ $$aIntro -- Preface -- Organization -- Keynote Speeches and Panels -- Knowledge Graphs in the Age of Large Language Models -- Semantic Web Research in the Age of Generative Artificial Intelligence -- ChatGLM: An Alternative to ChatGPT -- Panel on Neuro-Symbolic AI -- Contents - Part I -- Contents - Part II -- Research Track -- Link Traversal Query Processing Over Decentralized Environments with Structural Assumptions -- 1 Introduction -- 2 Related Work -- 3 The Solid Ecosystem -- 3.1 Data Vault -- 3.2 WebID Profile -- 3.3 Type Index -- 4 Approach -- 4.1 Formal Preliminaries
001483925 5058_ $$a4.2 Pipeline-Based Link Queue -- 4.3 Discovery of Data Vault -- 4.4 Discovery of Type Index -- 4.5 Implementation -- 5 Evaluation -- 5.1 Experimental Design -- 5.2 Experimental Results -- 5.3 Discussion -- 6 Conclusions -- Supplemental Material Statement -- References -- Dense Re-Ranking with Weak Supervision for RDF Dataset Search -- 1 Introduction -- 2 Dense Re-Ranking for RDF Dataset Search -- 2.1 Overview -- 2.2 Compact Document Representation -- 2.3 Dense Re-Ranking -- 3 Coarse Tuning with Weak Supervision -- 3.1 Overview -- 3.2 Coarse-Tuning Based on Distant Supervision
001483925 5058_ $$a3.3 Coarse-Tuning Based on Self-training -- 4 Evaluation -- 4.1 Test Collection -- 4.2 Labeled Data for Coarse-Tuning -- 4.3 Implementation Details -- 4.4 Experimental Settings -- 4.5 Evaluation Metrics -- 4.6 Evaluation Results -- 4.7 Case Study -- 5 Related Work -- 5.1 Dataset Search -- 5.2 Dense Ranking -- 6 Conclusion and Future Work -- References -- Optimizing SPARQL Queries with SHACL -- 1 Introduction -- 2 Preliminaries -- 3 Optimizations -- 4 Discussion -- 5 Conclusion -- References -- HAEE: Low-Resource Event Detection with Hierarchy-Aware Event Graph Embeddings -- 1 Introduction
001483925 5058_ $$a2 Related Work -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 Model Overview -- 3.3 Event Detection -- 3.4 Graph Embedding -- 3.5 Embedding Convolution -- 3.6 Loss Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Experiments Settings -- 4.3 Baselines -- 4.4 Results -- 5 Analysis -- 5.1 Cause Representation -- 5.2 Subevent Representation -- 5.3 Ablation Studies -- 6 Conclusions and Future Work -- References -- Textual Entailment for Effective Triple Validation in Object Prediction -- 1 Introduction -- 2 Related Work -- 3 Object Prediction -- 3.1 Task Definition
001483925 5058_ $$a3.2 SATORI: Seek and Entail for Object Prediction -- 4 Evaluation Setup -- 4.1 Dataset -- 4.2 Metrics -- 4.3 SATORI Configuration -- 4.4 Baselines -- 4.5 Pretrained Models and Training Regimes -- 5 Evaluation Results -- 5.1 Language Model Prompting and Triple Validation -- 5.2 Additional Pretraining and Fine-Tuning Scenarios -- 5.3 Language Models Vs Structured Knowledge Sources and Information Extraction Methods -- 6 Conclusions -- References -- ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph -- 1 Introduction -- 2 Related Work
001483925 506__ $$aAccess limited to authorized users.
001483925 520__ $$aThis book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, with a number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.
001483925 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 7, 2023).
001483925 650_6 $$aWeb sémantique$$vCongrès.
001483925 650_6 $$aInformatique sémantique$$vCongrès.
001483925 650_0 $$aSemantic Web$$vCongresses.$$vCongresses$$0(DLC)sh2010112582
001483925 650_0 $$aSemantic computing$$vCongresses.$$0(DLC)sh2009007899
001483925 655_0 $$aElectronic books.
001483925 7001_ $$aPayne, Terry.,$$eeditor.$$1https://orcid.org/0000-0002-0106-8731
001483925 7001_ $$aPresutti, Valentina,$$eeditor.$$1https://orcid.org/0000-0002-9380-5160
001483925 7001_ $$aQi, Guilin,$$eeditor.$$1https://orcid.org/0000-0003-0150-7236
001483925 7001_ $$aPoveda-Villalón, María,$$eeditor.$$1https://orcid.org/0000-0003-3587-0367
001483925 7001_ $$aStoilos, Giorgos,$$eeditor.$$0(orcid)0000-0002-9633-347X$$1https://orcid.org/0000-0002-9633-347X
001483925 7001_ $$aHollink, Laura,$$eeditor.$$1https://orcid.org/0000-0002-6865-0021
001483925 7001_ $$aKaoudi, Zoi,$$eeditor.$$0(orcid)0000-0003-4520-5360$$1https://orcid.org/0000-0003-4520-5360
001483925 7001_ $$aCheng, Gong,$$eeditor.$$0(orcid)0000-0003-3539-7776$$1https://orcid.org/0000-0003-3539-7776
001483925 7001_ $$aLi, Juanzi,$$eeditor.$$1https://orcid.org/0000-0002-6244-0664
001483925 77608 $$iPrint version:$$aPayne, Terry R.$$tThe Semantic Web - ISWC 2023$$dCham : Springer International Publishing AG,c2023$$z9783031472398
001483925 830_0 $$aLecture notes in computer science ;$$v14265.$$x1611-3349
001483925 852__ $$bebk
001483925 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-47240-4$$zOnline Access$$91397441.1
001483925 909CO $$ooai:library.usi.edu:1483925$$pGLOBAL_SET
001483925 980__ $$aBIB
001483925 980__ $$aEBOOK
001483925 982__ $$aEbook
001483925 983__ $$aOnline
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