2 papers
cs.AI2024
Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study
Keyu Wang, Guilin Qi, Jiaqi Li +1
Large language models (LLMs) have shown significant achievements in solving a wide range of tasks. Recently, LLMs' capability to store, retrieve and infer with symbolic knowledge h…
cs.AI2024
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
Keyu Wang, Guilin Qi, Jiaoyan Chen +2
Ontologies contain rich knowledge within domain, which can be divided into two categories, namely extensional knowledge and intensional knowledge. Extensional knowledge provides in…