Integrating Domain Knowledge into Process Discovery Using Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Norouzifar, Ali, Kourani, Humam, Dees, Marcus, van der Aalst, Wil |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Domain Knowledge and Process Discovery Using Large Language Models
by: Norouzifar, Ali, et al.
Published: (2024)
by: Norouzifar, Ali, et al.
Published: (2024)
Discriminative Rule Learning for Outcome-Guided Process Model Discovery
by: Norouzifar, Ali, et al.
Published: (2025)
by: Norouzifar, Ali, et al.
Published: (2025)
Process Variant Analysis Across Continuous Features: A Novel Framework
by: Norouzifar, Ali, et al.
Published: (2024)
by: Norouzifar, Ali, et al.
Published: (2024)
Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
Imposing Rules in Process Discovery: an Inductive Mining Approach
by: Norouzifar, Ali, et al.
Published: (2024)
by: Norouzifar, Ali, et al.
Published: (2024)
Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
PMAx: An Agentic Framework for AI-Driven Process Mining
by: Antonov, Anton, et al.
Published: (2026)
by: Antonov, Anton, et al.
Published: (2026)
PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks
by: Berti, Alessandro, et al.
Published: (2024)
by: Berti, Alessandro, et al.
Published: (2024)
Process Modeling With Large Language Models
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
Leveraging Large Language Models for Enhanced Process Model Comprehension
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
Translating Workflow Nets into the Partially Ordered Workflow Language
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
ProMoAI: Process Modeling with Generative AI
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text
by: Antonov, Anton, et al.
Published: (2026)
by: Antonov, Anton, et al.
Published: (2026)
Hierarchical Decomposition of Separable Workflow-Nets
by: Kourani, Humam, et al.
Published: (2026)
by: Kourani, Humam, et al.
Published: (2026)
No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence
by: van der Aalst, Wil M. P.
Published: (2025)
by: van der Aalst, Wil M. P.
Published: (2025)
Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach
by: De Santis, Fabrizio, et al.
Published: (2026)
by: De Santis, Fabrizio, et al.
Published: (2026)
Tailoring Machine Learning for Process Mining
by: Ceravolo, Paolo, et al.
Published: (2023)
by: Ceravolo, Paolo, et al.
Published: (2023)
Neuro-Symbolic Process Anomaly Detection
by: Gaikwad, Devashish, et al.
Published: (2026)
by: Gaikwad, Devashish, et al.
Published: (2026)
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
by: Beyel, Harry H., et al.
Published: (2024)
by: Beyel, Harry H., et al.
Published: (2024)
How to Write Beautiful Process-and-Data-Science Papers?
by: van der Aalst, Wil M. P.
Published: (2022)
by: van der Aalst, Wil M. P.
Published: (2022)
Online Discovery of Simulation Models for Evolving Business Processes (Extended Version)
by: Vinci, Francesco, et al.
Published: (2025)
by: Vinci, Francesco, et al.
Published: (2025)
MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models
by: Sarabadani, Ali, et al.
Published: (2025)
by: Sarabadani, Ali, et al.
Published: (2025)
Integrating Large Language Model for Improved Causal Discovery
by: Ban, Taiyu, et al.
Published: (2023)
by: Ban, Taiyu, et al.
Published: (2023)
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
by: Berti, Alessandro, et al.
Published: (2024)
by: Berti, Alessandro, et al.
Published: (2024)
Knowledge Boundary Discovery for Large Language Models
by: Wang, Ziquan, et al.
Published: (2026)
by: Wang, Ziquan, et al.
Published: (2026)
OCPQ: Object-Centric Process Querying & Constraints
by: Küsters, Aaron, et al.
Published: (2025)
by: Küsters, Aaron, et al.
Published: (2025)
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks
by: Rebmann, Adrian, et al.
Published: (2025)
by: Rebmann, Adrian, et al.
Published: (2025)
Learning Hybrid Process Models From Events: Process Discovery Without Faking Confidence
by: van der Aalst, Wil M. P., et al.
Published: (2017)
by: van der Aalst, Wil M. P., et al.
Published: (2017)
Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)
by: Shi, Zhan, et al.
Published: (2025)
Object-Centric Local Process Models
by: Peeva, Viki, et al.
Published: (2024)
by: Peeva, Viki, et al.
Published: (2024)
ProReco: A Process Discovery Recommender System
by: Huang, Tsung-Hao, et al.
Published: (2025)
by: Huang, Tsung-Hao, et al.
Published: (2025)
Developing a High-Performance Process Mining Library with Java and Python Bindings in Rust
by: Küsters, Aaron, et al.
Published: (2024)
by: Küsters, Aaron, et al.
Published: (2024)
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration
by: Kingsleigh, Offa, et al.
Published: (2025)
by: Kingsleigh, Offa, et al.
Published: (2025)
A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models
by: Neuberger, Julian, et al.
Published: (2024)
by: Neuberger, Julian, et al.
Published: (2024)
Language Bottleneck Models for Qualitative Knowledge State Modeling
by: Berthon, Antonin, et al.
Published: (2025)
by: Berthon, Antonin, et al.
Published: (2025)
Discovering Process Models With Long-Term Dependencies While Providing Guarantees and Filtering Infrequent Behavior Patterns
by: Mannel, Lisa Luise, et al.
Published: (2022)
by: Mannel, Lisa Luise, et al.
Published: (2022)
Schema Generation for Large Knowledge Graphs Using Large Language Models
by: Zhang, Bohui, et al.
Published: (2025)
by: Zhang, Bohui, et al.
Published: (2025)
Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge
by: Berti, Alessandro, et al.
Published: (2024)
by: Berti, Alessandro, et al.
Published: (2024)
Similar Items
-
Bridging Domain Knowledge and Process Discovery Using Large Language Models
by: Norouzifar, Ali, et al.
Published: (2024) -
Discriminative Rule Learning for Outcome-Guided Process Model Discovery
by: Norouzifar, Ali, et al.
Published: (2025) -
Process Variant Analysis Across Continuous Features: A Novel Framework
by: Norouzifar, Ali, et al.
Published: (2024) -
Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling
by: Kourani, Humam, et al.
Published: (2025) -
Imposing Rules in Process Discovery: an Inductive Mining Approach
by: Norouzifar, Ali, et al.
Published: (2024)