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Book Synopsis

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.

The Semantic Web

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    A Paperback by Edward Curry

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      View other formats and editions of The Semantic Web by Edward Curry

      Publisher: Springer
      Publication Date: 01/06/2025
      ISBN13: 9783031945748, 978-3031945748
      ISBN10:
      Also in:
      Computing Information retrieval

      Description

      Book Synopsis

      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.

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