China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs : International Joint Conference, CCKS-IJCKG 2024, Chongqing, China, September 20–22, 2024, Proceedings / / edited by Bin Xu, Bing Qin, Yannis Tzitzikas, Zhichun Wang, Xian-Ling Mao, Ming Liu, Pavlos Fafalios, Yongbin Liu, Zhiliang Tian, Michalis Mountantonakis

• Autore: Xu Bin
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (792 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Application software; Information storage and retrieval systems; Database management; Data mining; Information technology - Management; Artificial Intelligence; Computer and Information Systems Applications; Information Storage and Retrieval; Database Management; Data Mining and Knowledge Discovery; Computer Application in Administrative Data Processing
• Altri autori: JinPing TzitzikasYannis WangZhichun MaoXian-Ling LiuMing FafaliosPavlos LiuYongbin TianZhiliang MountantonakisMichalis
• Nota di contenuto: -- 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.
• Sommario/riassunto: Chinese Knowledge Base Question Answering System with Retrieval Augmented Generation.
• Titolo autorizzato: China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs
• ISBN: 9789819618095; 9819618096
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910986142003321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2229