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Semantic Web: 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 15, 2025, Proceedings, Part I [Pehme köide]

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  • Formaat: Paperback / softback, 503 pages, kõrgus x laius: 235x155 mm, 102 Illustrations, color; 29 Illustrations, black and white; XXIX, 503 p. 131 illus., 102 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15718
  • Ilmumisaeg: 01-Jun-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031945743
  • ISBN-13: 9783031945748
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Semantic Web: 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 15, 2025, Proceedings, Part ISuurem pilt
  • Formaat: Paperback / softback, 503 pages, kõrgus x laius: 235x155 mm, 102 Illustrations, color; 29 Illustrations, black and white; XXIX, 503 p. 131 illus., 102 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15718
  • Ilmumisaeg: 01-Jun-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031945743
  • ISBN-13: 9783031945748
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031945748.html
Märksõnad:

This two-volume set LNCS 15718-15719 constitutes the refereed proceedings of the 22nd European Semantic Web Conference, ESWC 2025, held in Portoroz, Slovenia, during June 1–5, 2025.
The 45 full papers presented were carefully reviewed and selected from 155 submissions.The ESWC’s Research track addresses the theoretical, analytical, and empirical aspects of the semantic web, semantic technologies, knowledge graphs and semantics on the Web in general. The In-use track focuses on contributions that reuse and apply state-of-the-art semantic technologies or resources to real-world settings. The resource track deals with resource contributions that are, on the one hand innovative or novel, and on the other hand sharable and reusable (e.g. datasets, knowledge graphs, ontologies, workflows, benchmarks, frameworks), and provide the necessary scaffolding to support the generation of scientific work and advance the state of the art.

Research: An Algebraic Foundation for Knowledge Graph Construction.-
Inductive Higher Order Embeddings.- ReaLitE: Enrichment of Relation
Embeddings in Knowledge Graphs using Numeric Literals.- Evaluating
Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings.-
On Evaluation Metrics for Complex Matching based on Reference Alignments.-
Kastor: Fine-tuned Small Language Models for Shape-based Active Relation
Extraction.- Predicting the Road Ahead: A Knowledge Graph based Foundation
Model for Scene Understanding in Autonomous Driving.- ANTS: Abstractive
Entity Summarization in Knowledge Graphs.- Delete/Rederive with Marking for
Update Streams.- Balancing Privacy and Utility: Semantic Anonymization of
Time-aware Knowledge Graphs.- Training-free Score Calibration for Complex
Query Decomposition.- Information-aware Entity Indexing in Knowledge Graphs
to Enable Semantic Search.- Explainable Temporal Fact Validation Through
Constraints Discovery in Knowledge Graphs.- Multi-dataset and transfer
learning using gene expression knowledge graphs for patient diagnosis.-
Robustness Evaluation of Knowledge Graph Embedding Models under Non-targeted
Attacks.- Predicting clinical outcomes from patient care pathways represented
with temporal knowledge graphs.- AvengER: Ensembling and Fine-Tuning LLMs for
Select Prompts in Entity Resolution.- Ontology Generation using Large
Language Models.- Towards Practicable Algorithms for Rewriting Graph Queries
beyond DL-Lite.- Designing Hierarchies for Optimal Hyperbolic Embedding.-
RDF-based Semantics for Selective Disclosure and Zero-knowledge Proofs on
Verifiable Credentials.- Taxonomy Inference for Tabular Data Using Large
Language Models.- GeoRDF2vec Learning Location-Aware Entity Representations
in Knowledge Graphs.- RelCheck: Improving Relation Extraction with
Ontology-Guided and LLM-Based Validation.- Analyzing the Influence of
Knowledge Graph Information on Relation Extraction.- Extending Shape
Expressions with an inheritance mechanism.