Researchers have conducted an empirical comparison of three methods for generating Competency Questions (CQs) from ontology requirements: manual formulation, pattern instantiation, and LLM generation. This study highlights the unique characteristics of each method, showing that while LLMs are effective initial tools for CQ elicitation, their outputs typically need refinement to meet quality standards.
Read the full article at arXiv cs.CL (NLP)
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.

![[AINews] The Unreasonable Effectiveness of Closing the Loop](/_next/image?url=https%3A%2F%2Fmedia.nemati.ai%2Fmedia%2Fblog%2Fimages%2Farticles%2F600e22851bc7453b.webp&w=3840&q=75)



