Member

Tanay Aggarwal

PhD Research Student

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Publications

Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field. In: Workshop on LLM-driven Knowledge Graph and Ontology Engineering (llms4kgoe) 2026 co-located with ESWC 2026, 11 May 2026, Dubrovnik, Croatia. https://oro.open.ac.uk/112032/.

Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study. ACM Transactions on Intelligent Systems and Technology, 17(5), https://oro.open.ac.uk/110795/.

Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Large language models for scholarly ontology generation: An extensive analysis in the engineering field. Information Processing & Management, 63(1), https://oro.open.ac.uk/105868/.

Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2024). Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting. In: 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024, 12 Nov 2024, Baltimore. https://oro.open.ac.uk/101266/.

Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2022). R-classify: Extracting research papers’ relevant concepts from a controlled vocabulary. Software Impacts, 14 https://oro.open.ac.uk/85958/.

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