@inproceedings{yanez-etal-2025-systematic,
    title = "Systematic Evaluation of Rule-Based Analytics for {LLM}-Driven Graph Data Modelling",
    author = "Yanez, Fabio Antonio  and
      Montoyo, Andr{\'e}s  and
      Su{\'a}rez, Armando  and
      Piad-Morffis, Alejandro  and
      Almeida Cruz, Yudivi{\'a}n",
    editor = "Picazo-Izquierdo, Alicia  and
      Estevanell-Valladares, Ernesto Luis  and
      Mitkov, Ruslan  and
      Guillena, Rafael Mu{\~n}oz  and
      Cerd{\'a}, Ra{\'u}l Garc{\'i}a",
    booktitle = "Proceedings of the First Workshop on Comparative Performance Evaluation: From Rules to Language Models",
    month = sep,
    year = "2025",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/corrections-2026-01/2025.r2lm-1.16/",
    pages = "154--164",
    abstract = "This paper presents a novel multi-agent system for automatically generating graph database schemas from tabular data, strategically integrating rule-based analytics with large language models (LLMs). The framework leverages a lightweight rule system to select the most suitable analytic methods based on column data types, providing targeted insights that guide schema generation."
}