Image de couverture de livre

From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Hongyin, Liang, Jinming, Hou, Mengjun, Tang, Ruifan, Zhu, Xianbin, Yang, Jingyuan, Mao, Yuanman, Wu, Feng
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Unifying Ontology Construction and Semantic Alignment for Deterministic Enterprise Reasoning at Scale
par: Zhu, Hongyin
Publié: (2026)

Construct, Align, and Reason: Large Ontology Models for Enterprise Knowledge Management
par: Zhang, Yao, et autres
Publié: (2026)

Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
par: Zhu, Hongyin
Publié: (2024)

Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information
par: Zhu, Hongyin
Publié: (2023)

Challenges and Responses in the Practice of Large Language Models
par: Zhu, Hongyin
Publié: (2024)

Architectural Foundations for the Large Language Model Infrastructures
par: Zhu, Hongyin
Publié: (2024)

Industry Risk Assessment via Hierarchical Financial Data Using Stock Market Sentiment Indicators
par: Zhu, Hongyin
Publié: (2023)

Hierarchical Quantum-Accelerated Federated Learning for Scalable, Auditable Cross-Enterprise AI Governance
par: Sarang Vehale, et autres
Publié: (2025)

Trust-as-a-Service: Task-Specific Orchestration for Effective Task Completion via Model Context Protocol-Aided Agentic AI
par: Zhu, Botao, et autres
Publié: (2026)

AI-Augmented Business Intelligence: A New Framework For Enterprise Decision Systems
par: Mahesh Reddy Pathoori
Publié: (2025)

Governing the Agentic Enterprise: A Governance Maturity Model for Managing AI Agent Sprawl in Business Operations
par: Acharya, Vivek
Publié: (2026)

Improving Offline Reinforcement Learning with Inaccurate Simulators
par: Hou, Yiwen, et autres
Publié: (2024)

LLM-Driven Ontology Construction for Enterprise Knowledge Graphs
par: Oyewale, Abdulsobur, et autres
Publié: (2026)

AI-Enabled Orchestration of Event-Driven Business Processes in Workday ERP for Healthcare Enterprises
par: Sharma, Monu
Publié: (2025)

Enterprise Architecture Development Based on Enterprise Ontology
par: Zeinab Rajabi
Publié: (2013)

Climate Change from Large Language Models
par: Zhu, Hongyin, et autres
Publié: (2023)

E-Motion: Future Motion Simulation via Event Sequence Diffusion
par: Wu, Song, et autres
Publié: (2024)

Semantic Chain-of-Trust: Autonomous Trust Orchestration for Collaborator Selection via Hypergraph-Aided Agentic AI
par: Zhu, Botao, et autres
Publié: (2025)

Task-Specific Trust Evaluation for Multi-Hop Collaborator Selection via GNN-Aided Distributed Agentic AI
par: Zhu, Botao, et autres
Publié: (2025)

Beyond Autonomy: A Dynamic Tiered AgentRunner Framework for Governable and Resilient Enterprise AI Execution
par: Pan, Kai, et autres
Publié: (2026)

Learning with Episodic Hypothesis Testing in General Games: A Framework for Equilibrium Selection
par: Yang, Ruifan, et autres
Publié: (2025)

Spatiotemporal Trust Evaluation for Collaborator Selection via Customized GNN-Mamba
par: Zhu, Botao, et autres
Publié: (2026)

Dynamic Approximate Maximum Matching in the Distributed Vertex Partition Model
par: Robinson, Peter, et autres
Publié: (2025)

Accurate Trust Evaluation for Effective Operation of Social IoT Systems via Hypergraph-Enabled Self-Supervised Contrastive Learning
par: Zhu, Botao, et autres
Publié: (2025)

Networked Physical Computing: A New Paradigm for Effective Task Completion via Hypergraph Aided Trusted Task-Resource Matching
par: Zhu, Botao, et autres
Publié: (2025)

Hypergraph-Aided Task-Resource Matching for Maximizing Value of Task Completion in Collaborative IoT Systems
par: Zhu, Botao, et autres
Publié: (2024)

Composite and Staged Trust Evaluation for Multi-Hop Collaborator Selection
par: Zhu, Botao, et autres
Publié: (2026)

Social and Physical Attributes-Defined Trust Evaluation for Effective Collaborator Selection in Human-Device Coexistence Systems
par: Zhu, Botao, et autres
Publié: (2025)

Rapid and Continuous Trust Evaluation for Effective Task Collaboration Through Siamese Model
par: Zhu, Botao, et autres
Publié: (2025)

Governed Auditable Decisioning Under Uncertainty: Synthesis and Agentic Extension
par: Solozobov, Oleg
Publié: (2026)

Statistical Tests for Replacing Human Decision Makers with Algorithms
par: Feng, Kai, et autres
Publié: (2023)

Global AI Bias Audit for Technical Governance
par: Hung, Jason
Publié: (2026)

Stateless Decision Memory for Enterprise AI Agents
par: Srinivasan, Vasundra
Publié: (2026)

Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos
par: Liang, Rongqin, et autres
Publié: (2024)

Coordinate Systems and Measurements: An Ontological Asymmetry in Corpus-Level AI Safety Audits
par: Williams, Andy E
Publié: (2026)

Chain-of-Trust: A Progressive Trust Evaluation Framework Enabled by Generative AI
par: Zhu, Botao, et autres
Publié: (2025)

Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
par: Zhu, Botao, et autres
Publié: (2025)

Reflexive Synthetic Data Governance for Enterprise AI Agents
par: Annamalai Sekar, Mythili, et autres
Publié: (2026)

Multi-Channel Graph Neural Network for Financial Risk Prediction of NEEQ Enterprises
par: Zhu, Jianyu
Publié: (2025)

Governing AI Forgetting: Auditing for Machine Unlearning Compliance
par: Lin, Qinqi, et autres
Publié: (2026)