@inproceedings{mendes-etal-2024-application,
    title = "Application of Generative {AI} as an Enterprise Wikibase Knowledge Graph {Q}{\&}{A} System",
    author = "Mendes, Ren{\^e}  and
      Oliveira, Dimas  and
      Garcia, Victor",
    editor = "Biswas, Russa  and
      Kaffee, Lucie-Aim{\'e}e  and
      Agarwal, Oshin  and
      Minervini, Pasquale  and
      Singh, Sameer  and
      de Melo, Gerard",
    booktitle = "Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.kallm-1.4/",
    doi = "10.18653/v1/2024.kallm-1.4",
    pages = "35--42",
    abstract = "Generative AI and Large Language Models are increasingly used in business contexts. One application involves natural language conversations contextualized by company data, which can be accomplished by Enterprise Knowledge Graphs, standardized representations of data. This paper outlines an architecture for implementation of an Enterprise Knowledge Graph using open-source Wikibase software. Additionally, it is presented a Knowledge Graph Q{\&}A System powered by Generative AI."
}