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Author:   Bin Xu ,  Bing Qin ,  Yannis Tzitzikas ,  Zhichun Wang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Volume:   2229
ISBN:  

9789819618088

ISBN 10:   9819618088
Pages:   507
Publication Date:   09 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

.- Knowledge Representation and Reasoning. .- KG-diffusion: an Improved Knowledge Graph Completion with Diffusion. .- Cardiovascular Disease Knowledge Graph Reasoning Method Based on ConvKB Link Predication. .- Evolutionary Graph Network with Time-aware Attention for Temporal Knowledge Graph Reasoning. .- The Framework Design of a Semantic Role-Based Knowledge Graph for Natural Disaster Emergency Response. .- Research on Automatic Extraction of Emergency Response Standards Concept Hierarchy Based on LDA. .- Knowledge Graph Construction and Knowledge Integration. .- Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction. .- SCM-Net: Semantic-Contrastive Multimodal Framework for Enhanced Chinese NER. .- Biomedical Document Relation Extraction Via Mention-Entity Double Fusion and Contrast Enhanced Inference. .- GVDExtractor: Document-level Ternary Relation Extraction of Gene-Variant-Disease from Medical Literature. .- Alias Extraction Enhanced by Automatically Generated Long-Tail Instances. .-Taxonomy Induction Using LLMs: An Enhanced Framework by Integrating Doubly-Checked Mechanism and Self-Evaluation Strategy. .- Graph Database and Knowledge Management. .- Relation Inquiry: A Novel Synchronous Joint Extractor for Entities and Relations. .- Machine Learning on Graphs. .- Flexible Multi-view Subspace Clustering with Anchor Structure Alignment. .- Knowledge Retrieval and Information Retrieval. .- Reliable Academic Conference Question Answering: A Study Based on Large Language Model. .- Knowledge Graph and Large Language Model Applications. .- Benchmarking Knowledge Graph-grounded Factual Verification. .- An LLM-SPARQL Hybrid Framework for Named Entity Linking and Disambiguation to Wikidata. .- Mitigating Multi-Hop Hallucination in Large Language Models with Non-Authoritative Knowledge Sources. .- LLM-AR: Large Language Model Augmented Retrieval for Few-shot Knowledge Graph Completion. .- Hierarchical Knowledge Graph Attention Network for Recommendation Systems. .- Few-shot Fine-grained Ship Detection. .- Adaptive Factual Decoding for Hallucination Mitigation with Part-Of-Speech based Critics. .- Knowledge Graph Open Resources. .- EduChat: A Large Language Model-Based Conversational Agent for Intelligent Education. .- Manu-Eval: A Chinese Language Understanding Benchmark for Manufacturing Industry. .- A Comprehensive Ontology Knowledge Evaluation System for Large Language Models. .- Poster and Demo. .- Enhancing traditional Chinese medicine Information Extraction using Instruction-Tuned Large Models. .- Development of an Intelligent Chinese Medicine Q&A System Based on Traditional Chinese Medicine Knowledge Graph and Large Language Models. .- KAOS: Large Model Multi-Agent Operating System. .- Integrating Large Language Models with Knowledge Graphs in Traditional Chinese Medicine Consultation: A Case Study. .- Local Index File-based Tool for Extracting Class Hierarchies from Wikidata. .- A Study on the Metadata System and the Construction of Knowledge Graph of the Classic of Mountains and Rivers-Taking the Classic of the Southern Mountains as an Example. .- Evaluations. .- A Two-Stage Approach for Knowledge Editing in LLM. .- LLM-based Functional Query Generation with Multi-relation Alignment for Complex Knowledge Based Question Answering. .- A Person Attribute Knowledge-Based Question Answering Method Leveraging Large Language Models. .- Instruction Fine-Tuning of Large Language Models for Traditional Chinese Medicine. .- Enhancing Traditional Chinese Medicine Question Answering and Semantic Reasoning via Historical Exam Retrieval and Sentence Similarity. .- Chinese Knowledge Base Question Answering System with Retrieval Augmented Generation. .- Fast Assortativity Coefficient Calculation in Large-scale Social Networks. .- MQATG:An Automatic Military Equipment Question-Answer Test Case Generation Framework using Large Language Models. .- Boosting Q&A Generation for Military Equipment via Example Selection and Automated Prompt Engineering. .- Improving SQL Generation with Schema Retrieval and Reaction Mechanism. .- HIT-SCIR at CCKS-IJCKG2024: Enhancing Text-to-SQL with Multi-Step Pipeline.

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