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Produktbild: Knowledge Graphs and Semantic Computing
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Knowledge Graphs and Semantic Computing 10th China Conference, CCKS 2025, Fuzhou, China, September 19–21, 2025, Proceedings

Aus der Reihe Communications in Computer and Information Science
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73,99 € UVP 82,49 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.07.2026

Abbildungen

XVII, 288 p. 110 illus., 75 illus. in color.

Herausgeber

Jiye Liang + weitere

Verlag

Springer Singapore

Seitenzahl

288

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

470 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9585-24-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.07.2026

Abbildungen

XVII, 288 p. 110 illus., 75 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

288

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

470 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9585-24-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Knowledge Graphs and Semantic Computing

  • .- Knowledge Graph Construction and Integration.

    .- A Cross-Subgraph Attention Fusion and Comparison Method for Contrastive Learning Based Knowledge Graph Completion.

    .- A Preliminary Attempt to Generate a Sichuan Dialect Handbook by LLMs.

    .- EDREL: Document-level Relation Extraction with Evidence and Logical Rules.

    .- Knowledge Retrieval-Augmented Interest learning for Recommendation.

    .- Large Models Enhanced by Knowledge Graphs.

    .- Multi-granularity Hierarchical RAG for Welding Parameter Recommendation.

    .- Lag-Relative Sparse Attention In Long Context Training.

    .- VIKA: Vectorized Indispensable Knowledge-subgraph Augmentation for Large Language Models.

    .- Traff-LLM: A Spatio-Temporal Knowledge-Guided Large Language Model for Traffic Flow Prediction.

    .- Applications of Knowledge Graphs and Large Models/Agents.

    .- MAEPS: Multi-Agent Event Prediction System Based on Human Expert Team Collaboration Simulation.

    .- Zero-shot Instruction Generation via Dual-Alignment Instruction Wrappers with Summary-Text fused instruction wrappers.

    .- FEFT: A Feedback-enhanced Evaluation Fine-tuning Framework for Financial Report Summarization.

    .- Iterative Generation Method for Factual QA in Large Language Models Based on Semantic Entropy Verification.

    .- Open Resources for Knowledge Graphs and Large Models.

    .- Autism Children Education Knowledge Graph: Construction and Validation.

    .- C-Voice: Culturally-grounded Multi-dimensional Alignment of LLMs with Chinese Social Values.

    .- Evaluations.

    .- HiParse-RAG: A High-Fidelity Document Parsing and Hybrid Retrieval Multi-Model Fusion Framework for Complex Academic Question Answering.

    .- HybriDoc: An Adaptive Multi-Path Framework for End-to-End Document Structure Extraction.

    .- Pre-training for Document Structure Extraction with Lightweight Model Architecture.

    .- Robust Detection of AI-Generated Text: Insights on Evolving LLMs and Adversarial Data.

    .- A Fact-Aware Cascaded Framework for Dynamic-granularity Timeline Summarization.

    .- Multi-Agent for Dynamic-Granularity Timeline Summarization.

    .- Advancing Grounded Multimodal NER via Self-Reflective Prompt Refinement and Visual Noise Mitigation.

    .- ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER.