@inproceedings{bayrami-asl-tekanlou-etal-2025-homa,
    title = "{H}oma at {S}em{E}val-2025 Task 5: Aligning Librarian Records with {O}nto{A}ligner for Subject Tagging",
    author = "Bayrami Asl Tekanlou, Hadi  and
      Razmara, Jafar  and
      Sanaei, Mahsa  and
      Rahgouy, Mostafa  and
      Babaei Giglou, Hamed",
    editor = "Rosenthal, Sara  and
      Ros{\'a}, Aiala  and
      Ghosh, Debanjan  and
      Zampieri, Marcos",
    booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/transition-to-people-yaml/2025.semeval-1.312/",
    pages = "2400--2406",
    ISBN = "979-8-89176-273-2",
    abstract = "This paper presents our system, Homa, for SemEval-2025 Task 5: Subject Tagging, which focuses on automatically assigning subject labels to technical records from TIBKAT using the Gemeinsame Normdatei (GND) taxonomy. We leverage OntoAligner, a modular ontology alignment toolkit, to address this task by integrating retrieval-augmented generation (RAG) techniques. Our approach formulates the subject tagging problem as an alignment task, where records are matched to GND categories based on semantic similarity. We evaluate OntoAligner{'}s adaptability for subject indexing and analyze its effectiveness in handling multilingual records. Experimental results demonstrate the strengths and limitations of this method, highlighting the potential of alignment techniques for improving subject tagging in digital libraries."
}