3 papers
cs.IR2026
KGVoyager: Knowledge Graph Agnostic Question Answering via Agentic Navigation
Essam Wisam, Chengkai Li
Knowledge Graph Question Answering (KGQA) over RDF graphs remains challenging in domain-specific settings, where formal ontologies and curated text-SPARQL pairs are often unavailab…
cs.CL2025
Rule2Text: A Framework for Generating and Evaluating Natural Language Explanations of Knowledge Graph Rules
Nasim Shirvani-Mahdavi, Chengkai Li
Knowledge graphs (KGs) can be enhanced through rule mining; however, the resulting logical rules are often difficult for humans to interpret due to their inherent complexity and th…
cs.CL2025
Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
Nasim Shirvani-Mahdavi, Devin Wingfield, Amin Ghasemi +1
Knowledge graphs (KGs) often contain sufficient information to support the inference of new facts. Identifying logical rules not only improves the completeness of a knowledge graph…