[The following post has been authored by Prof.
I lead the Intelligent Systems and Data Science research group in KMi, which carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions. These include Artificial Intelligence (AI), Intelligent Systems, Data Science, Semantic Web Technologies, Visual Analytics, Cognitive Robotics, Machine Learning, Human-Computer Interaction and others. Application domains include (but are not limited to) Smart Cities, Scholarly Data, Media Analytics, and Digital Humanities. In March 2019, I also took up a Professor II position at the University of Bergen, to contribute to the development of the MediaFutures Centre and progress a novel research line on the application of AI technologies to Computational Journalism and Media Analytics.
Since 2014 my group has been collaborating closely with Springer Nature, a very successful strategic partnership that has enabled us to ground our research in concrete business requirements, leading to several highly innovative techniques, applications and resources. Another key area of current research concerns the development of intelligent robots, able to integrate state of the art machine learning techniques with knowledge-based reasoning, to improve their visual intelligence and make sense of their environment. A current application context for this work concerns the use of cognitive robots for in-house healthcare assistance.
[The following post has been authored by Prof.
KMi’s excellence in research and innovation would not be possible without the extraordinary women working and studying here.
The 22nd International Semantic Web Conference (ISWC 2023), a leading global event for the Semantic Web and Knowledge Graph Community, has successfully wrapped up, marked by notable involvement from...
On 1 October 2023, Tanay Aggarwal joined our team, starting his doctoral research under the supervision of Dr Angelo Salatino, Dr Francesco Osborne, and Prof Enrico Motta. Tanay will investigate...
Leo, V., Fenu, G., Greco, D., Bidotti, N., Platter, P., Motta, E., Nuzzolese, A., Osborne, F. and Recupero, D. (2023) Ontology-Based Generation of Data Platform Assets, 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy
Meloni, A., Angioni, S., Salatino, A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2023) AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape The Semantic Web - ISWC 2023, eds. Terry R., et al Payne, 14265, Springer Cham
Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2023) Leveraging Knowledge Graphs with Large Language Models for Classification Tasks in the Tourism Domain, Deep Learning for Knowledge Graphs 2023, Athens
Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2023) Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models, Deep Learning for Knowledge Graphs 2023, Athens
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