Cover Image

OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cotti, Luca, Drago, Idilio, Rula, Anisa, Bianchini, Devis, Cerutti, Federico
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence I.2.7; I.2.6; I.2.4
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
by: Cotti, Luca, et al.
Published: (2025)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)

Evo-DKD: Dual-Knowledge Decoding for Autonomous Ontology Evolution in Large Language Models
by: Raman, Vishal, et al.
Published: (2025)

SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling
by: Aharon, Eliya Naomi, et al.
Published: (2026)

Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)

Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)

ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model
by: Pospieszny, Przemek, et al.
Published: (2025)

MeMo: Towards Language Models with Associative Memory Mechanisms
by: Zanzotto, Fabio Massimo, et al.
Published: (2025)

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
by: Karabulut, Burak, et al.
Published: (2026)

The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework
by: Shah, Aakriti, et al.
Published: (2025)

HyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction
by: Heydari, Sina, et al.
Published: (2026)

Learning, Fast and Slow: Towards LLMs That Adapt Continually
by: Tiwari, Rishabh, et al.
Published: (2026)

Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
by: Chua, Jaymari, et al.
Published: (2025)

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
by: Pareja, Aldo, et al.
Published: (2024)

A Graph-based RAG for Energy Efficiency Question Answering
by: Campi, Riccardo, et al.
Published: (2025)

Large Language Models as Oracles for Ontology Alignment
by: Lushnei, Sviatoslav, et al.
Published: (2025)

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection
by: Guo, Dongxin, et al.
Published: (2026)

CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge
by: Guo, Willis, et al.
Published: (2024)

Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study
by: Mihindukulasooriya, Nandana, et al.
Published: (2025)

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
by: Tanjim, Md Mehrab, et al.
Published: (2026)

Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning
by: Chanda, Prateek, et al.
Published: (2025)

A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion
by: Niu, Guanglin, et al.
Published: (2024)

LLMs for Game Theory: Entropy-Guided In-Context Learning and Adaptive CoT Reasoning
by: Banfi, Tommaso Felice, et al.
Published: (2026)

KNOW: A Real-World Ontology for Knowledge Capture with Large Language Models
by: Bendiken, Arto
Published: (2024)

GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
by: Ghandi, Taraneh, et al.
Published: (2026)

Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction
by: Celian, Ringwald, et al.
Published: (2025)

Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties
by: Ringwald, Célian, et al.
Published: (2025)

Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
by: Nwokocha, Caleb Princewill
Published: (2022)

MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains
by: Wei, Kaiwen, et al.
Published: (2025)

Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
by: Lin, Shuhang, et al.
Published: (2026)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
by: Agrawal, Lakshya A, et al.
Published: (2025)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure
by: Navakoti, Raj, et al.
Published: (2026)

CSSDM Ontology to Enable Continuity of Care Data Interoperability
by: Das, Subhashis, et al.
Published: (2025)

Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)

Question Answering Over Spatio-Temporal Knowledge Graph
by: Dai, Xinbang, et al.
Published: (2024)

OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)

Hopscotch: Discovering and Skipping Redundancies in Language Models
by: Eyceoz, Mustafa, et al.
Published: (2025)