KMi is a diverse and multidisciplinary R&D lab that has been at the forefront of innovation since 1995, conducting research in computing technologies for social and environmental good. Our research spans Semantic Technologies, Artificial Intelligence, Educational Media, Social Data Science, Scholarly Data, Blockchain, Citizen Science, Collective Intelligence, Smart Cities, and others.
Upcoming Seminar
On the Peripheral - Design Praxis feeling the future paradigm
This event will take place on Tuesday 09 July 2024
Dr Lisa Bowers - The Open University
This abstract explores the potential of combining haptics technology with Augmented Reality (AR) and Extended Reality (XR) for a more inclusive and engaging learning...
Showcase
People
I'm working as a UX designer for CORE. With the team, we improve current and develop new features for the CORE dashboard.
I am the Senior Systems & Network Administrator and manager of the KMi Systems team. Working under the KMi Senior Technology Officer, I am responsible for the architecture and implementation of...
Testimonials
"If you are or want to be a brilliant mind, this is where you want to be!"
Valentina Presutti, Institute of Cognitive Science and Technologies, Italy
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"
Raphaël Troncy, EURECOM: Graduate School & Research Center, France
"Top location for SW research for decades and going strong!"
Pascal Hitzler, Kansas State University, USA
Publications
Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) A comparative analysis of knowledge injection strategies for large language models in the scholarly domain, 133, Elsevier
Mikroyannidis, A., Sharma, N., Ekuban, A. and Domingue, J. (2024) Using Generative AI and ChatGPT for improving the production of distance learning materials, 24th IEEE International Conference on Advanced Learning Technologies (ICALT 2024), Nicosia, Cyprus, IEEE Computer Society
Mensio, M. (2024) Persuasion across the Political Spectrum: Quantifying Differences in Parallel News Reports
