3 papers
cs.SE2026
LLM-based Zero-shot Triple Extraction for Automated Ontology Generation from Software Engineering Standards
Songhui Yue
Ontologies have supported knowledge representation and white-box reasoning for decades; thus, the automated ontology generation (AOG) plays a crucial role in scaling their use. Sof…
cs.DB2025
OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
Songhui Yue, Yang Shao, Sean Hayes
Query optimization has been studied using machine learning, reinforcement learning, and, more recently, graph-based convolutional networks. Ontology, as a structured, information-r…
cs.SE2024
A Data-to-Product Multimodal Conceptual Framework to Achieve Automated Software Evolution for Context-rich Intelligent Applications
Songhui Yue
While AI is extensively transforming Software Engineering (SE) fields, SE is still in need of a framework to overall consider all phases to facilitate Automated Software Evolution…