Per Year

 @article{llmoracles-kbs310,
    apice = {LlmoraclesKbs310},
    articleno = 112940,
    arxiv = {2404.04108},
    author = {Ciatto, Giovanni and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
    dblp = {journals/kbs/CiattoAMO25},
    doi = {10.1016/j.knosys.2024.112940},
    iris = {11585/1001205},
    issn = {0950-7051},
    journal = {Knowledge-Based Systems},
    keywords = {Ontology population; Large language models; Nutrition; Automation; Domain-specific knowledge},
    month = {15}}},
    publisher = {Elsevier B.V.},
    scholar = {12608317221311042342},
    scopus = {2-s2.0-85214522484},
    title = {Large language models as oracles for instantiating ontologies with domain-specific knowledge},
    url = {https://www.sciencedirect.com/science/article/pii/S0950705124015740},
    urlopenaccess = {https://www.sciencedirect.com/science/article/pii/S0950705124015740},
    volume = 310,
    year = 2025
} 

 @incollection{hiccs2025,
    author = {Ciatto, Giovanni and Matteini, Mattia and Laura Sartori and Maria Rebrean and Catelijne Muller and Andrea Borghesi and Calegari, Roberta},
    booktitle = {Proceedings of the 58th Hawaii International Conference on System Sciences},
    doi = {10.24251/HICSS.2025.777},
    iris = {11585/1018911},
    isbn = {978-0-9981331-8-8},
    location = {Hawaii, HI, USA},
    numpages = 10,
    pages = {6504--6513},
    scopus = {2-s2.0-105005142003},
    title = {{AI}-fairness: the {FAIRBRIDGE} approach to practically bridge the gap between socio-legal and technical perspectives},
    url = {https://hdl.handle.net/10125/109625},
    wos = {WOS:001443246900761},
    year = 2025
} 

 @book{extraamas2025,
    dblp = {conf/extraamas/2025},
    doi = {10.1007/978-3-032-01399-6},
    editor = {Davide Calvaresi and Amro Najaar and Omicini, Andrea and Reyhan Aydogan and Rachele Carli and Ciatto, Giovanni and Simona Tiribelli and Kary Främling},
    eisbn = {978-3-032-01399-6},
    eissn = {1611-3349},
    iris = {11585/1048535},
    isbn = {978-3-032-01398-9},
    issn = {0302-9743},
    keywords = {Multi-Agent Systems, Computing most probable explanation, Machine Learning, LawSocial and Behavioral Sciences, Artificial Intelligence, Knowledge Representation and Reasoning, Rule Learning},
    month = oct,
    publisher = {Springer},
    scholar = {9214865659693901175},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    subtitle = {7th International Workshop, EXTRAAMAS 2025, Detroit, MI, USA, May 19–20, 2025, Revised Selected Papers},
    title = {Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems},
    url = {https://link.springer.com/10.1007/978-3-032-01398-9},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-01398-9.pdf},
    volume = 15939,
    year = 2025
}