Dr Omar Mussa

Mussa, O. et al. 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)
Mussa, O. et al. 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, M. , Wang, H. and Wang, X. eds. Web Information Systems Engineering – WISE. Vol. 15439.Lecture Notes in Computer Science Singapore: Springer Nature. , pp.246-261. (10.1007/978-981-96-0573-6_18)

Mussa, O. et al. 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.
Mussa, O. et al. 2022. Making linked-data accessible: A review. Technical Report.

Mussa, O. et al. 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.
Mussa, O. et al. 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, M. , Wang, H. and Wang, X. eds. Web Information Systems Engineering – WISE. Vol. 15439.Lecture Notes in Computer Science Singapore: Springer Nature. , pp.246-261. (10.1007/978-981-96-0573-6_18)

Pablo Orozco Ter Wengel