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
AI-Driven Ontology extraction of Research Areas
This event will take place on Wednesday 13 December 2023
Alessia Pisu - University of Cagliari
Ontologies are essential tools for structuring and collecting human knowledge. They enable the identification and description of concepts concerning a specific topic.
In the field of...
Showcase
People
My research focuses on the socio-technical factors influencing the design and uptake of Collective Intelligence infrastructures. These are online environments which seek to improve collective...
Joining the OU in the Spring of 1992, my initial projects were related to the transcription of course material for print-disabled students. I was a founding member of KMi when it was launched in...
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
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
Buscaldi, D., Dessí, D., Motta, E., Murgia, M., Osborne, F. and Recupero, D. (2023) Citation prediction by leveraging transformers and natural language processing heuristics, Information Processing & Management, 61, Elsevier
Larasati, R., De Liddo, A. and Motta, E. (2023) Meaningful Explanation Effect on User's Trust in an AI Medical System: Designing Explanations for Non-Expert Users, ACM Transactions on Interactive Intelligent Systems, pp. (Early Access)
