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Mussa, Omar
2025.
Making linked data discoverable in the context of wildlife data observatories.
PhD Thesis,
Cardiff University.
Item availability restricted. |
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Mussa, Omar, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Goossens, Benoît, Orozco-terWengel, Pablo and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346
2024.
Towards enhancing linked data retrieval in conversational UIs using Large Language Models.
Presented at: 25th International Conference on Web Information Systems Engineering, WISE 2024,
Doha, Qatar,
2-5 December 2024.
Published in: Barhamgi, Mahmoud, Wang, Hua and Wang, Xin eds.
Web Information Systems Engineering – WISE.
Lecture Notes in Computer Science
, vol.15439
Singapore:
Springer Nature,
pp. 246-261.
10.1007/978-981-96-0573-6_18
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Mussa, Omar, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Goossens, Benoit ORCID: https://orcid.org/0000-0003-2360-4643, Orozco Ter Wengel, Pablo ORCID: https://orcid.org/0000-0002-7951-4148 and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346
2024.
ForestQB: Enhancing linked data exploration through graphical and conversational UIs integration.
ACM Journal on Computing and Sustainable Societies
2
(3)
, pp. 1-33.
10.1145/3675759
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Mussa, Omar, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Benoît, Goossens, Orozco-terWengel, Pablo and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346
2022.
ForestQB: An adaptive query builder to support wildlife research.
Presented at: The 21st International Semantic Web Conference 2022,
Hangzhou, China,
23-27 October 2022.
CEUR Workshop Proceedings.
, vol.3254
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