{"product_id":"china-conference-on-knowledge-graph-and-semantic-computing-and-international-joint-conference-on-knowledge-graphs-9789819618088","title":"China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Knowledge Representation and Reasoning.\u003c\/strong\u003e\u003cbr\u003e.- KG-diffusion: an Improved Knowledge Graph Completion with Diffusion.\u003cbr\u003e.- Cardiovascular Disease Knowledge Graph Reasoning Method Based on ConvKB Link Predication.\u003cbr\u003e.- Evolutionary Graph Network with Time-aware Attention for Temporal Knowledge Graph Reasoning.\u003cbr\u003e.- The Framework Design of a Semantic Role-Based Knowledge Graph for Natural Disaster Emergency Response.\u003cbr\u003e.- Research on Automatic Extraction of Emergency Response Standards Concept Hierarchy Based on LDA.\u003cbr\u003e\u003cstrong\u003e.- Knowledge Graph Construction and Knowledge Integration.\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003cstrong\u003e.- \u003c\/strong\u003e\u003c\/strong\u003eBeyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction.\u003cbr\u003e.- SCM-Net: Semantic-Contrastive Multimodal Framework for Enhanced Chinese NER.\u003cbr\u003e.- Biomedical Document Relation Extraction Via Mention-Entity Double Fusion and Contrast Enhanced Inference.\u003cbr\u003e.- GVDExtractor: Document-level Ternary Relation Extraction of Gene-Variant-Disease from Medical Literature.\u003cbr\u003e.- Alias Extraction Enhanced by Automatically Generated Long-Tail Instances.\u003cbr\u003e.-Taxonomy Induction Using LLMs: An Enhanced Framework by Integrating Doubly-Checked Mechanism and Self-Evaluation Strategy.\u003cbr\u003e\u003cstrong\u003e.- Graph Database and Knowledge Management.\u003c\/strong\u003e\u003cbr\u003e.- Relation Inquiry: A Novel Synchronous Joint Extractor for Entities and Relations.\u003cbr\u003e\u003cstrong\u003e.- Machine Learning on Graphs.\u003c\/strong\u003e\u003cbr\u003e.-\u003cstrong\u003e \u003c\/strong\u003eFlexible Multi-view Subspace Clustering with Anchor Structure Alignment.\u003cbr\u003e\u003cstrong\u003e.- Knowledge Retrieval and Information Retrieval.\u003c\/strong\u003e\u003cbr\u003e.-\u003cstrong\u003e \u003c\/strong\u003eReliable Academic Conference Question Answering: A Study Based on Large Language Model.\u003cbr\u003e\u003cstrong\u003e.- Knowledge Graph and Large Language Model Applications.\u003c\/strong\u003e\u003cbr\u003e.-\u003cstrong\u003e \u003c\/strong\u003eBenchmarking Knowledge Graph-grounded Factual Verification.\u003cbr\u003e.- An LLM-SPARQL Hybrid Framework for Named Entity Linking and Disambiguation to Wikidata.\u003cbr\u003e.- Mitigating Multi-Hop Hallucination in Large Language Models with Non-Authoritative Knowledge Sources.\u003cbr\u003e.- LLM-AR: Large Language Model Augmented Retrieval for Few-shot Knowledge Graph Completion.\u003cbr\u003e.- Hierarchical Knowledge Graph Attention Network for Recommendation Systems.\u003cbr\u003e.- Few-shot Fine-grained Ship Detection.\u003cbr\u003e.- Adaptive Factual Decoding for Hallucination Mitigation with Part-Of-Speech based Critics.\u003cbr\u003e\u003cstrong\u003e.- Knowledge Graph Open Resources.\u003c\/strong\u003e\u003cbr\u003e.-\u003cstrong\u003e \u003c\/strong\u003eEduChat: A Large Language Model-Based Conversational Agent for Intelligent Education.\u003cbr\u003e.- Manu-Eval: A Chinese Language Understanding Benchmark for Manufacturing Industry.\u003cbr\u003e.- A Comprehensive Ontology Knowledge Evaluation System for Large Language Models.\u003cbr\u003e\u003cstrong\u003e.- Poster and Demo.\u003c\/strong\u003e\u003cbr\u003e.-\u003cstrong\u003e \u003c\/strong\u003eEnhancing traditional Chinese medicine Information Extraction using Instruction-Tuned Large Models.\u003cbr\u003e.- Development of an Intelligent Chinese Medicine Q\u0026amp;A System Based on Traditional Chinese Medicine Knowledge Graph and Large Language Models.\u003cbr\u003e.- KAOS: Large Model Multi-Agent Operating System.\u003cbr\u003e.- Integrating Large Language Models with Knowledge Graphs in Traditional Chinese Medicine Consultation: A Case Study.\u003cbr\u003e.- Local Index File-based Tool for Extracting Class Hierarchies from Wikidata.\u003cbr\u003e.- 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.\u003cbr\u003e\u003cstrong\u003e.- Evaluations.\u003c\/strong\u003e\u003cbr\u003e.- A Two-Stage Approach for Knowledge Editing in LLM.\u003cbr\u003e.- LLM-based Functional Query Generation with Multi-relation Alignment for Complex Knowledge Based Question Answering.\u003cbr\u003e.- A Person Attribute Knowledge-Based Question Answering Method Leveraging Large Language Models.\u003cbr\u003e.- Instruction Fine-Tuning of Large Language Models for Traditional Chinese Medicine.\u003cbr\u003e.- Enhancing Traditional Chinese Medicine Question Answering and Semantic Reasoning via Historical Exam Retrieval and Sentence Similarity.\u003cbr\u003e.- Chinese Knowledge Base Question Answering System with Retrieval Augmented Generation.\u003cbr\u003e.- Fast Assortativity Coefficient Calculation in Large-scale Social Networks.\u003cbr\u003e.- MQATG:An Automatic Military Equipment Question-Answer Test Case Generation Framework using Large Language Models.\u003cbr\u003e.- Boosting Q\u0026amp;A Generation for Military Equipment via Example Selection and Automated Prompt Engineering.\u003cbr\u003e.- Improving SQL Generation with Schema Retrieval and Reaction Mechanism.\u003cbr\u003e.- HIT-SCIR at CCKS-IJCKG2024: Enhancing Text-to-SQL with Multi-Step Pipeline.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default 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