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This book constitutes the joint refereed proceedings of the 18th China Conference on Knowledge Graph and Semantic Computing and the 13th International Joint Conference on Knowledge Graphs, CCKS-IJCKG 2024, held in Chongqing, China, during September 20-22, 2024.
The 30 full papers and 11 other papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in the following topical sections: Knowledge representation and reasoning; Knowledge graph construction and knowledge integration; Graph database and knowledge management; Machine learning on graphs; Knowledge retrieval and information retrieval; Knowledge graph and large language model applications; Knowledge graph open resources; Poster and demo; Evaluations.
List 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.
